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  • HKN QE (ECEPhDQE)
    *[[HKNQE_Communications_and_Signal_Processing|Communications and Signal Processing]] [[Image:ECE600QE-1.pdf]]
    626 B (74 words) - 09:44, 3 December 2008
  • ECE:CNSIP area
    = Communication, Networking, Image and Signal Processing (CNSIP) Research in ([[ECE]])= Purdue University has a rich and long history in communications and signal processing. For example, did you know the the following facts?
    3 KB (360 words) - 07:01, 25 June 2012
  • CNSIPseminars
    :"Designing Perceptually-Based Image Filters in the Modulation Domain" :"A Signal-Processing Approach to Modeling Vision, and Applications"
    5 KB (656 words) - 14:36, 4 May 2011
  • ECE438 (BoutinSpring2009)
    ...p://www.ee.ic.ac.uk/hp/staff/dmb/courses/speech/speech.htm Link] to speech processing course by Mike Brooks. Look at section 1, page 1.5-1.6 for "my speech" exam ...ering material (ECE438BoutinSpring2009)| Some material for the lectures on image filtering]]
    9 KB (1,235 words) - 10:15, 11 January 2010
  • Research Group List
    *[[ECE:CNSIP area| Communication, Networking, Signal and Image Processing (CNSIP) area (from ECE)]]
    493 B (74 words) - 11:24, 25 May 2009
  • List of Course Wikis
    :[[2015_Spring_ECE_438_Ersoy|ECE438: "Digital SIgnal Processing", Prof. Ersoy]] :[[2014_Fall_ECE_438_Boutin|ECE438: "Digital SIgnal Processing"]]
    13 KB (1,570 words) - 13:53, 7 August 2018
  • ECE637 (BoumanSpring2009)
    [[Category:image processing]]
    1 KB (200 words) - 08:03, 9 April 2013
  • CourseNotes1 (BoutinSpring2009)
    [[Category:signal processing]] -the pixels in a bitmap image (grayscale) can have a value of 0,1,2,...,255 for each individual pixel.
    3 KB (532 words) - 06:43, 16 September 2013
  • Interactive CNSIP area presentation
    ** Signal Processing ** Image and Video Processing
    258 B (29 words) - 08:56, 27 March 2009
  • CourseNotes30 (BoutinSpring2009)
    [[Category:signal processing]] ...This over exposure can cause certain details to become washed out in your image.
    2 KB (324 words) - 06:45, 16 September 2013
  • Course evaluation (ECE438BoutinSpring2009)
    ...review of ECE301 and ECE302 material so we can do more speech/sound/image processing instead? --[[User:Mboutin|Mboutin]] 16:08, 28 April 2009 (UTC) ...o the "quiz" we had on Wednesday, I enjoyed learning both speech and image processing and would hate to have to sacrifice one for the other. One thing to keep i
    4 KB (709 words) - 13:42, 3 May 2009
  • Reading guide (ECE438BoutinSpring2009)
    Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. ...vise.www.ecn.purdue.edu/VISE/ee438L/lab9/pdf/lab9a.pdf First lab on speech processing]
    8 KB (1,226 words) - 11:40, 1 May 2009
  • Meta Course List
    :[[ECE438|ECE438: "Digital Signal Processing with Applications"]] *[[ECE438|ECE 438]]: "Digital Signal Processing with Applications"
    4 KB (474 words) - 07:08, 4 November 2013
  • ECE438 (BoutinFall2009)
    =Rhea Section for [[ECE438|ECE 438: Digital Signal Processing with Applications]] Professor [[User:mboutin|Boutin]], Fall 2009= ::Stats: mean=69.7, median=70, std=28.3, grade histogram:[[Image:test1HistECE438F09.png|300px]]
    7 KB (1,067 words) - 12:05, 25 June 2010
  • ECE662:BoutinSpring08 Old Kiwi
    * [[Image Processing_Old Kiwi|Image Processing]]
    6 KB (747 words) - 05:18, 5 April 2013
  • Lecture 13 - Kernel function for SVMs and ANNs introduction Old Kiwi
    .. image:: mortiz_lec13.gif ...ocessing system. It is composed of a large number of highly interconnected processing elements (neurones) working in unison to solve specific problems. ANNs, lik
    8 KB (1,354 words) - 08:51, 17 January 2013
  • Bayes Classification: Experiments and Notes Old Kiwi
    [[Image:Hcd_Old Kiwi.jpg|none|500px|left|thumb|Figure 1]] [[Image:Hca_Old Kiwi.jpg|none|500px|left|thumb|Figure 2]]
    4 KB (735 words) - 22:49, 8 March 2008
  • Old QE question numbering Old Kiwi
    |ee??? || CS-2 || (CS-1) || (Digital) Signal Processing |ee637 || CS-5 || (N/O) || Image Processing
    2 KB (279 words) - 23:00, 9 March 2008
  • What is Pattern Recognition Old Kiwi
    * Classify an MRI Image [[Image:StepsPatternRecog_Old Kiwi.jpg]]
    3 KB (436 words) - 08:43, 10 April 2008
  • ECE637:BoumanSpring08 Old Kiwi
    This is the page for the course ECE637: Digital Image Processing I.
    646 B (97 words) - 21:22, 1 May 2008
  • Publications Old Kiwi
    text processing of internet documents, gene expression array analysis, and combinatorial ch ...oceedings of the 4th conference on IASTED International Conference: Signal Processing, Pattern Recognition and Applications, Innsbruck, Austria, pp. 356-361, 200
    39 KB (5,715 words) - 10:52, 25 April 2008
  • Applications of Pattern Recognition Old Kiwi
    * [[Image Processing_Old Kiwi]] '''In Image Processing:'''
    6 KB (905 words) - 12:18, 28 April 2008
  • Clustering Algorithms Old Kiwi
    <center>[[Image:methods_Old Kiwi.jpg]]</center> ''<center>Image from: http://www.daylight.com/meetings/mug96/</center>''
    3 KB (585 words) - 14:39, 20 April 2008
  • ECE637:ECE637 Old Kiwi
    This is the kiwi page for the course ECE637: Digital Image Processing I
    462 B (71 words) - 12:01, 6 May 2008
  • Course Summary ECE438Fall09mboutin
    Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. ...://cobweb.ecn.purdue.edu/~ipollak/ee438/FALL04/notes/Section2.2.pdf speech processing]
    9 KB (1,237 words) - 09:29, 5 October 2009
  • ECE662:BoutinSpring08 OldKiwi
    * [[Image Processing_OldKiwi|Image Processing]]
    7 KB (875 words) - 07:11, 13 February 2012
  • Hw3ECE438F09boutin
    * g_final is the resulting image and g_up is the upsampled version of the original, [[GPS Signal Processing]] --[[User:Kheldman|Kheldman]]
    4 KB (543 words) - 07:02, 25 August 2010
  • Book in PDF form
    [[Image:Discrete-Time Signal Processing - 2ed - Oppenheim.pdf]]
    63 B (9 words) - 11:55, 18 June 2009
  • Sean hu
    [[Image:pic_hu.png]] ...ngineer/researcher in fall 2009. From my experience, it's the core signal processing concepts that are the most important, such as the ones taught in ECE438. U
    922 B (147 words) - 06:43, 21 July 2009
  • Landis Huffman
    '''BSEE 2004, current Ph.D. student researching signal and image processing.''' establish signal processing while statistical modeling taught in ECE 302 is
    987 B (142 words) - 05:34, 5 August 2009
  • Test
    [[Image:ee662_chernoff_ex_0.png]] <br> Figure 3.1: Chernoff bound for ''N(0,1)'' an [[Image:ee662_chernoff_ex_1.png]] <br> Figure 3.2: Chernoff bound for ''N(0,1)'' an
    17 KB (2,590 words) - 10:45, 22 January 2015
  • Student summary image processing
    ...ntals of Image processing,how images are segmented and how those segmented image is analysed on the basis of pixels .The tools used in this domain and will
    190 B (32 words) - 15:26, 19 December 2009
  • Dhruv Lamba: User Page
    ...lude Signal Processing, (mainly Spectral Analysis, Filter Design and Image Processing), Digital Systems Design and Psychology (sounds weird for a EE right? But [[Image:Dhruv_Lamba.jpg]]
    2 KB (268 words) - 09:43, 14 May 2010
  • Application of Upsampling in High-Quality Audio Reconstruction
    ...ingly faster, smaller, and cheaper, it is preferable to use digital signal processing as a way to compensate for distortions caused by analog circuitry. One are [[Image:X_f_plot.png‎]]
    5 KB (840 words) - 19:08, 22 September 2009
  • Speech Spectrogram
    ...ce, Fourier analysis touches many industries and sciences: image and audio processing, communications, GPS and RADAR tracking, seismology, and medical imaging, t [[Image:Praat-spectrogram-tatata.png|Praat-spectrogram-tatata.png]]
    8 KB (1,268 words) - 07:16, 23 September 2009
  • Discrete Time Interpolation:Waving the math wand
    ...Boutin if a discrete time interpolator, can ideally make a low-resolution image, a high resolution one. and Voila! hi-res image. Impossible right?
    5 KB (847 words) - 11:54, 21 September 2012
  • Interplay of Filters
    ...ontrast,adding a bit noise here and there,making it look blurry,making the image pretty by the photo retouching tools in photoshop.But it never occurred to ...h automatically results in the elimination of unneccessary noise.The final image looks 'smooth' due to the average filter.The above filter works on the foll
    3 KB (426 words) - 06:03, 14 October 2009
  • Introduction to Wavelets
    ...l Engineers, the first person that comes to mind when someone says "SIGNAL PROCESSING" is Fourier. [[Image:filter_bank_block.gif]]
    10 KB (1,646 words) - 11:26, 18 March 2013
  • Student summary spectral analysis 2D signalsb
    ...g images and then click on the "Full resolution" hyperlink to see the full image.'')'''<br><br> [[Image:Rect8.png|left|800px]]
    8 KB (1,397 words) - 11:23, 18 March 2013
  • Audience awareness in posting
    ...ted to ECE 438 that we weren't covering in class (i.e. more advanced image processing, mp3 encoding). I do feel that the homework collaboration has promise, but ...dable to students and not embarrassing to recruiters) and maintains Rhea's image as a reflection of the students in the courses it represents. --[[User:crta
    9 KB (1,621 words) - 16:36, 1 January 2010
  • Peer Legacy ECE438
    ...erstand the lecture's material. The textbook for ECE 438 - "Digital Signal Processing" by Proakis - is very mediocre but has some examples. It wasn't of much hel ...s are awesome as you get to deal with practical aspect of signal and image processing.You will learn all sort of things to create a digital sound, modification o
    17 KB (3,004 words) - 08:11, 15 December 2011
  • Image Processing Recitation
    ...30 November. This page attempts to present a very general overview of the image filtering process, an understanding of boundary conditions, and examples of Image Processing:
    5 KB (811 words) - 16:19, 19 December 2009
  • ECE662 topic1 discussions
    ...with prof. George Lee on Emotion detection and HRI. We are utilizing image processing and computer vision techniques to come up with a framework for Emotion and ...UAV(unmanned aerial vehicle), image feature detector &amp; descriptor, and image registration with georeferencing landmarks. The decision theory and corresp
    8 KB (1,359 words) - 04:54, 6 May 2010
  • ECE fellowship initiative
    ...e importance of labs/buildings/equipment may reflect my status as an image processing engineer who only uses a desktop computer for all of my research, however I
    4 KB (665 words) - 04:53, 8 April 2010
  • What is Pattern Recognition OldKiwi
    * Classify an MRI Image [[Image:StepsPatternRecog_OldKiwi.jpg]]
    3 KB (462 words) - 10:41, 10 June 2013
  • Test Page
    ...ep track of the object boundaries while segmenting it. While processing an image ,its very essential to work with objects with finite boundaries,so that the ...was very helpful to me in understanding the applications of Digital Signal processing which I took as ECE 438[[https://kiwi.ecn.purdue.edu/rhea/index.php/ECE438_
    2 KB (296 words) - 12:59, 16 April 2010
  • AnanyaResearch2009
    ...ep track of the object boundaries while segmenting it. While processing an image ,its very essential to work with objects with finite boundaries,so that the ...was very helpful to me in understanding the applications of Digital Signal processing which I took as ECE 438[[https://kiwi.ecn.purdue.edu/rhea/index.php/ECE438_
    2 KB (299 words) - 14:54, 16 April 2010
  • 2010 Fall IE 590 Wachs
    ...ics and Machine Vision” introduces students to computer vision and image processing from an interaction design standpoint. How human feedback can be used to im 1 –Image Processing: Morphology, Filters, Color, Shape
    2 KB (279 words) - 10:11, 10 August 2010
  • My use for the DFT!
    [[Category:digital signal processing]] ! [[Image:Original xn.jpg|thumb|450px|plot version]]
    13 KB (2,348 words) - 13:25, 2 December 2011
  • 2010 Fall ECE 438 Boutin
    *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]] ...% bonus by contributing a Rhea page on a subject related to digital signal processing. To pick a subject, simply write your name next to it. Please no more than
    9 KB (1,221 words) - 11:00, 22 December 2014
  • Lecture Schedule ECE438Fall10 Boutin
    Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. Prentice Hall, 1996. ...atization%20DFT&pg=PA218#v=twopage&q&f=true Chapter 13] of "Digital Signal Processing, Theory and Practice", by D. Sundararajan.
    9 KB (1,331 words) - 07:15, 29 December 2010
  • Zhao148
    ** Image Processing
    588 B (66 words) - 09:20, 24 August 2012
  • ECE637
    [[Category:image processing]] "Digital Image Processing I" '''
    2 KB (190 words) - 11:23, 29 May 2013
  • ECE PhD QE CNSIP 2001 Problem1.1
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (273 words) - 17:40, 13 March 2015
  • ECE PhD QE CNSIP 2001 Problem1.2
    Communication, Networking, Signal and Image Processing (CS)
    1 KB (191 words) - 17:42, 13 March 2015
  • ECE PhD QE CNSIP 2001 Problem1.3
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (928 words) - 17:46, 13 March 2015
  • Lecture35ECE438F10
    ...luded the material on speech processing. We then began talking about image processing. Since images are signals depending on two (space) variables, we defined th
    933 B (122 words) - 09:32, 11 November 2011
  • ECE438 Week13 Quiz
    [[Category:digital signal processing]] ...ind the output image that results when this filter is applied to the input image shown below:<br/>
    3 KB (398 words) - 10:43, 11 November 2011
  • Lecture37ECE438F10
    ...ressing the CSFT. We finished the class with a short introduction to image processing using an LTI system.
    1 KB (174 words) - 09:31, 11 November 2011
  • ECE438 Week14 Quiz
    [[Category:digital signal processing]] [[Image:Q3_table.jpg]]
    3 KB (515 words) - 10:43, 11 November 2011
  • Lecture38ECE438F10
    ...-space image by convolution with a function h[n,m]. We also looked at this processing from the frequency domain perspective. We looked an an example in detail (t *[[ECE_438_Fall_2009_mboutin_plotCSFTofbasicfilters|Plot of some basic image filters]]
    808 B (107 words) - 10:56, 29 November 2010
  • Rhea Drawing App Awarded to Albert Parra
    ...and Computer Engineering. I work for Professor Delp in the Video and Image Processing Laboratory (VIPER) and for Professor Boutin in the Computational Imaging La ...or Android devices. My Research Assistant position is currently focused on Image Analysis and Machine Translation for hand-held devices (Android, iPhone, No
    2 KB (248 words) - 17:02, 27 December 2010
  • Rhea Photo Upload App Awarded to Albert Parra
    ...and Computer Engineering. I work for Professor Delp in the Video and Image Processing Laboratory (VIPER) and for Professor Boutin in the Computational Imaging La ...or Android devices. My Research Assistant position is currently focused on Image Analysis and Machine Translation for hand-held devices (Android, iPhone, No
    1 KB (236 words) - 10:36, 28 December 2010
  • ECE637:BoumanSpring08 OldKiwi
    [[Category:image processing]] ==[[ECE637]]: Digital Image Processing I, Spring 2008==
    716 B (94 words) - 08:02, 9 April 2013
  • ECE301inBME
    *'''Image and Image Processing''' – X-ray, ultrasound, MRI (magnetic resonance imaging), and CT (compute **Signal processing and filtering algorithms to create stethoscopes that function in high-noise
    17 KB (2,368 words) - 10:53, 6 May 2012
  • Lecture Schedule ECE438Fall11 Boutin
    [[Category:signal processing]] Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. Prentice Hall, 1996.
    9 KB (1,341 words) - 03:52, 31 August 2013
  • Coding for Android on Windows - Image processing - C Code
    ==[[Coding_for_Android_on_Windows|Coding for Android on Windows]]- Image processing - C++ Code== =Image processing on an Android phone - Lowpass filter an Image - C++ code=
    3 KB (486 words) - 11:58, 20 April 2012
  • DN JasonHolmes
    <center>[[Image:High_Level.jpg|left|500px]] [[Image:Low_Level.jpg|right|500px]]</center> [[Image:LRVC_Blinky_Live.jpg|200px|thumb|left|Blinky]]
    33 KB (5,764 words) - 11:55, 10 December 2011
  • Coding for Android on Windows
    ...lated to my current work in the research lab and shows you how to do image processing on an Android phone.<br /> # [[Coding_for_Android_on_Windows_-_Image_processing_-_Java_Code|Image processing on an Android phone - Java Code]]
    1 KB (209 words) - 10:03, 21 May 2013
  • MathWorksTest
    |align="bottom"|[[Image:Mathworkslogo.jpg|130px]] = <br/>[[ECE438|ECE 438]]: Digital Signal Processing with Applications =
    9 KB (1,273 words) - 20:52, 15 October 2011
  • Peer Legacy ENGR131
    ...taking ECE 438, I've done some image processing where the brightness of an image was absolutely essential in filtering applications. While there may certain
    11 KB (2,089 words) - 14:16, 16 December 2011
  • Lecture35ECE438F11
    ...monstrate how to use the formula using an average filter and a 6x6 digital image. The issue of the boundary conditions was discussed. [[Category:image processing]]
    2 KB (301 words) - 06:32, 11 September 2013
  • Audio Signal Generating and Processing Project, Previous method
    [[Category:Audio Signal Generating and Processing Project]] =Audio Signal Generating and Processing Project, Previous method=
    6 KB (931 words) - 20:33, 15 November 2011
  • Lecture36ECE438F11
    [[Category:image processing]] [[Category:digital signal processing]]
    2 KB (213 words) - 06:32, 11 September 2013
  • Hw8 ECE438F11
    d) What is the output image when this filter is applied to the following image (using symmetric boundary conditions)? ...ttom rows and also the first column I agree with your answer for the final image.
    2 KB (270 words) - 03:59, 31 August 2013
  • Lecture37ECE438F11
    [[Category:image processing]] [[Category:digital signal processing]]
    1 KB (163 words) - 06:32, 11 September 2013
  • Lecture38ECE438F11
    ...at it allows one to smooth out an image without blurring the edges of that image. [[Category:image processing]]
    1 KB (157 words) - 06:33, 11 September 2013
  • Lecture1ECE662S12
    ...ssing related problems, as many students in the class are working in image processing. We noted that in pattern recognition, one always chooses among a 'finite'
    3 KB (490 words) - 12:30, 23 February 2012
  • Similarity analysis of images
    [[Category:signal processing]] [[Category:image processing]]
    7 KB (1,124 words) - 08:44, 11 November 2013
  • Intro Prof Charles Bouman
    ..._lectures_Image_Processing_sLecture_mhossain|"The Bouman Lectures on Image Processing," by Maliha Hossain]] *[[ECE637|ECE637: Image Processing I]]
    490 B (66 words) - 04:15, 16 May 2013
  • On Principal Component Analysis
    ...wanted to understand and use principal component analysis (PCA) for image processing. He had not taken linear algebra yet; I was in the middle of taking the cou ...ortunately, no idea of the utility of what I learned in the field of image processing. But, ideally, I now do have the background to understand PCA. I have spent
    6 KB (1,043 words) - 12:45, 3 March 2015
  • Coding for Android on Windows - Image processing - Java Code
    ==[[Coding_for_Android_on_Windows|Coding for Android on Windows]] - Image processing - Java Code== =Image processing on an Android phone - Lowpass filter an Image - Java code=
    7 KB (1,278 words) - 11:57, 20 April 2012
  • Coding for Android on Windows - First projects
    ...pter: [[Coding_for_Android_on_Windows_-_Image_processing_-_Java_Code|Image Processing - Java Code]]
    7 KB (1,190 words) - 11:57, 20 April 2012
  • Lecture 13 - Kernel function for SVMs and ANNs introduction OldKiwi
    .. image:: mortiz_lec13.gif ...ocessing system. It is composed of a large number of highly interconnected processing elements (neurones) working in unison to solve specific problems. ANNs, lik
    9 KB (1,389 words) - 11:19, 10 June 2013
  • Enhanced video george zimmerman DSP discussion
    ...hought I would bring this up to the attention of the Purdue Digital Signal Processing community for discussion. As you may have heard, ABC news obtained an exclu ...h frequency details of an image run the risk of enhancing the noise in the image as well. So an important question is: are we seeing enhanced noise, or enha
    4 KB (635 words) - 09:25, 23 April 2012
  • ECE PhD Qualifying Exams
    *Communications and Signal Processing **Question 2: Signal Processing
    8 KB (952 words) - 22:00, 1 August 2019
  • ECE PhD QE CNSIP 2000 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    3 KB (406 words) - 10:19, 13 September 2013
  • ECE PhD QE CNSIP 2007 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (763 words) - 10:57, 10 March 2015
  • ECE PhD QE CNSIP 2001 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (780 words) - 01:25, 9 March 2015
  • ECE PhD QE CNSIP 2002 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (766 words) - 00:16, 10 March 2015
  • ECE PhD QE CNSIP 2003 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (729 words) - 00:51, 10 March 2015
  • ECE PhD QE CNSIP 2004 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (735 words) - 01:17, 10 March 2015
  • ECE PhD QE CNSIP 2005 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (609 words) - 01:54, 10 March 2015
  • ECE PhD QE CNSIP 2006 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (726 words) - 10:35, 10 March 2015
  • ECE PhD QE CNSIP 2008 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (632 words) - 11:05, 10 March 2015
  • ECE PhD QE CNSIP Jan 2002 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (643 words) - 11:16, 10 March 2015
  • ECE PhD QE CNSIP Jan 2001 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (616 words) - 10:19, 13 September 2013
  • ECE PhD QE CNSIP Jan 2006 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (572 words) - 10:24, 10 March 2015
  • ECE PhD QE CNSIP Jan 2004 Problem1
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (748 words) - 01:01, 10 March 2015
  • ECE PhD QE CNSIP 2000 Problem1.1
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (358 words) - 10:33, 13 September 2013
  • ECE PhD QE CNSIP 2000 Problem1.2
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (638 words) - 10:34, 13 September 2013
  • ECE PhD QE CNSIP 2000 Problem1.3
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (248 words) - 10:34, 13 September 2013
  • ECE PhD QE CNSIP 2000 Problem1.4
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (282 words) - 10:34, 13 September 2013
  • ECE PhD QE CNSIP Jan 2001 Problem1.1
    Communication, Networking, Signal and Image Processing (CS) [[Image:ECE600 Note Chebyshev inequality1.jpg]]
    3 KB (532 words) - 10:36, 13 September 2013
  • ECE PhD QE CNSIP Jan 2001 Problem1.2
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (655 words) - 10:36, 13 September 2013
  • ECE PhD QE CNSIP Jan 2001 Problem1.3
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (357 words) - 10:36, 13 September 2013
  • ECE PhD QE CNSIP Jan 2001 Problem1.4
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (234 words) - 10:37, 13 September 2013
  • ECE PhD QE CNSIP Jan 2001 Problem1.5
    Communication, Networking, Signal and Image Processing (CS)
    3 KB (496 words) - 10:37, 13 September 2013
  • ECE-QE CS1-2011
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (547 words) - 16:40, 30 March 2015
  • ECE-QE CS5-2011
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    4 KB (665 words) - 10:25, 13 September 2013
  • Https://www.projectrhea.org/rhea/index.php/ECE-QE CS1-2011 solusion-1
    ...ECE Ph.D. Qualifying Exam]] in "Communication, Networks, Signal, and Image Processing" (CS) = "Communication, Networks, Signal, and Image Processing" (CS)- Question 1, August 2011
    5 KB (711 words) - 09:05, 27 July 2012
  • ECE-QE CS1-2011 solusion-1
    Communication, Networking, Signal and Image Processing (CS) "Communication, Networks, Signal, and Image Processing" (CS)- Question 1, August 2011
    8 KB (1,247 words) - 10:29, 13 September 2013
  • ECE-QE CS1-2011 solusion-2
    Communication, Networking, Signal and Image Processing (CS) "Communication, Networks, Signal, and Image Processing" (CS)- Question 1, August 2011
    6 KB (932 words) - 10:30, 13 September 2013
  • ECE-QE CS5-2011 solusion-1
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    8 KB (1,206 words) - 10:31, 13 September 2013
  • ECE-QE CS5-2011 solusion-2
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    17 KB (2,783 words) - 01:51, 31 March 2015
  • Course information ECE438F12Ersoy
    =[[ECE438|ECE 438]] Digital Signal Processing with Applications= ...can be ordered from: [http://www.lulu.com/product/paperback/digital-signal-processing-in-a-nutshell-%28volume-i%29/18805904 lulu.com].
    24 KB (3,522 words) - 07:28, 24 August 2012
  • Accelerometer
    ...w, the error of each implementation is relatively small. However, because processing time is the primary constraint for my application, the I opted for the LUT [[Image:Atan_discretization2.png | 720x560px]]
    8 KB (1,176 words) - 15:15, 1 May 2016
  • Camera LCD Interfacing
    [[Image:Reg_transfer_diagram.JPG | 720x560px]] [[Image:RGB565_transfer.PNG | 720x560px]]
    3 KB (533 words) - 15:17, 1 May 2016
  • 2013 Spring Image Processing ECE 637 Bouman
    [[Category:Image ProcessingECE 637Spring2013Bouman]] =[[ECE637]]: Digital Image Processing I, [[Intro_Prof_Charles_Bouman|Prof. Bouman]], Spring 2013=
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  • Lab 1 Additional Information ECE637 Spring2013 Bouman
    * FIR: consider a sliding window pass through the entire image defined as h(m,n) that could be transformed to H(u,v) * Rule of thumb:If your image doesn't look like it is doing what it is supposed to do, it is probably wro
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  • Lab 2 Additional Information ECE637 Spring2013 Bouman
    ...se the (0,0) frequency component, and thus giving us the illusion that the image is smoother.''' :A2 - As mentioned from A1. Given X~U(-0.5,0.5), to correctly display the image using 8bit gray scale, you have to make the best out of your quantization l
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  • Lab 3 Additional Information ECE637 Spring2013 Bouman
    ...to make the actual component and push and pop the pixels from the original image. ...i][j] which contains 0 or 1. My question is that how to print it out as an image.
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  • Lab 4 Additional Information ECE637 Spring2013 Bouman
    ;'''Q: My image looks really dark after correction. [[Category:Image ProcessingECE 637Spring2013Bouman]]
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  • Lab 5 Additional Information ECE637 Spring2013 Bouman
    ...t is to be produced in section 4 for the projection coefficients. It is an image or a regular plot? The paragraph describing that procedure is not too clear ...gray scale, compared to the example. And in this case when you project an image onto this eigenvector, the projection coefficient will have the opposite si
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  • Lecture1 video ECE637 Image Processing 1 Bouman
    [[Category:image processing]] =Digital Image Processing 1 ([[ECE637]])=
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  • Lecture11 blog ECE302S13 Boutin
    ...e finished the lecture with a short illustration of a research-level image processing problem for which discrete distributions are useful.
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  • Introduction To Pattern Recognition and Classification
    '''Post Processing''' The image to the right shows the various components of a patten recognition system.
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  • Lecture2 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 2 - CTFT and CSFT [[Category:Image ProcessingECE 637Spring2013Bouman]]
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    Digital Image Processing I - Lecture 3 - CSFT and Rep and Comb Relations [[Category:Image ProcessingECE 637Spring2013Bouman]]
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  • Lecture4 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 4 - Optical Imaging Systems [[Category:Image ProcessingECE 637Spring2013Bouman]]
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  • Lecture5 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 5 - Helical Scan Multislice CT and PET [[Category:Image ProcessingECE 637Spring2013Bouman]]
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  • Lecture6 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 6 - Tomographic Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
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  • Lecture7 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 7 - FPB and Magnetic Resonance Imaging [[Category:Image ProcessingECE 637Spring2013Bouman]]
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  • Lecture8 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 8 - MRI Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
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  • Lecture9 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 9 - MRI and C-programming [[Category:Image ProcessingECE 637Spring2013Bouman]]
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  • Lecture10 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 10 - C-programming [[Category:Image ProcessingECE 637Spring2013Bouman]]
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  • Lecture11 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 11 - DTFT, DSFT, Sampling, and Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
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  • QE637 T
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
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  • QE637 T Pro2
    [[Category:image processing]] ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) =
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  • QE637 T Pro1
    [[Category:image processing]] ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) =
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  • ECE637 Bouman lectures Image Processing sLecture mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • ECE637 optical imaging systems S13 mhossain
    <!-- keyword: ECE 637, digital image processing --> [[Category:image processing]]
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  • ECE637 optical imaging systems lens S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • ECE637 optical imaging systems space domain models S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • ECE637 Bouman lecture notes Foreword mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • ECE637 optical imaging systems intro S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • Lab1 OldKiwi
    [[Category:image processing]] ...4h1 (note h1 prints color), hit Print. Done! And remember to "use original image size". PS: I am curious if I am posting this the right way. If not, someone
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  • Lab2 OldKiwi
    [[Category:image processing]]
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  • Lab3 OldKiwi
    [[Category:image processing]]
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  • Lab4 OldKiwi
    [[Category:image processing]] ...ulated Gamma on inverse of equation (5), and you should have the corrected image. Good luck!
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  • Lab7 OldKiwi
    [[Category:image processing]] error diffusion makes image brighter --karl.ostmo.1, Wed, 19 Mar 2008 15:03:39 -0400 reply
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  • Slectures
    ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]], by Maliha Hossain
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  • About Prof Bouman sLecture s13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • ECE637 tomographic reconstruction intro S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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    <!-- keyword: ECE 637, digital image processing --> [[Category:image processing]]
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  • ECE637 tomographic reconstruction CT S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • ECE637 tomographic reconstruction PET S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • ECE637 tomographic reconstruction coordinate rotation S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • Test page math squad
    [[Image:blah.jpg]] * C. A. Bouman. ECE 637. "Class Lecture. Digital Image Processing I". Faculty of Electrical Engineering, Purdue University, Spring 2013.
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  • ECE637 tomographic reconstruction convolution back projection S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • ECE637 tomographic reconstruction radon transform S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • ECE637 tomographic reconstruction fourier slice theorem S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • ECE637 MRI S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • ECE637 discrete parameter signals and systems S13 mhossain
    <!-- keyword: ECE 637, digital image processing --> [[Category:image processing]]
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  • ECE637 discrete parameter signals and systems discrete transforms S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
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  • 2013 Fall ECE 641 Bouman
    [[Category:image processing]]
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  • ECE641
    [[Category:image processing]] "Model-Based Image and Signal Processing" <br> (Formally ``Image Processing II'') '''
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  • Lecture Schedule ECE438Fall13 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
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  • Practice z transform computation 2 ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' [[Image:Green26 ece438 hmwrk3 power series.png|480x320px]]
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  • ECE438 digital signal processing learning material
    [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
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  • ECE PhD QE CNSIP 2008 Question3
    <font size="4">Communication, Networking, Signal and Image Processing (CS)</font> [[Image:Pic_1.jpg]]
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  • ECE PhD QE CNSIP 2011 Question3
    <font size="4">Communication, Networking, Signal and Image Processing (CS)</font> [[Image:Pic_1.jpg]]
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  • HW11ECE438F13
    [[Category:signal processing]] d) What is the output image when this filter is applied to the following image (using symmetric boundary conditions)?
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  • Lecture37ECE438F13
    [[Category:signal processing]] [[Category:image processing]]
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  • Lecture36ECE438F13
    [[Category:signal processing]] [[Category:image processing]]
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  • Lecture38ECE438F13
    [[Category:signal processing]] [[Category:image processing]]
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  • Lecture39ECE438F13
    [[Category:signal processing]] [[Category:image processing]]
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  • Walther453Fall13 Topic13 paper
    ...ially the Internet, using the Internet as an information communication and processing is becoming more and more common. Traditional social affairs and business o [[Image:Alice bob.png]]
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  • Lecture42ECE438F13
    [[Category:signal processing]] [[Category:image processing]]
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  • Lecture43ECE438F13
    [[Category:signal processing]] [[Category:image processing]]
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  • MotionTracking438
    ...Matlab without relying entirely on the advanced features of Matlab's Image Processing Toolbox or Computer Vision Toolbox, such as the built in [http://www.mathwo ...use this as a chance to learn how to set up a camera with Matlab for image processing, even though we will not be doing any calculations in real time.&nbsp;
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  • ECE-QE CS1-2012
    Communication, Networking, Signal and Image Processing (CS)
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  • ECE-QE CS1-2012 solusion-1
    <font size="4">Communication, Networking, Signal and Image Processing (CS)</font>
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  • ECE-QE CS1-2012 solusion-2
    <font size="4">Communication, Networking, Signal and Image Processing (CS)</font>
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  • PCA
    ...ion fields like face recognition, dimension reduction, factor analysis and image compression, etc. Generally speaking, it's a common technique that can find <center>[[Image:New Original data.jpg|center]]</center> <center>Figure 1. Original data set
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  • ECE662 Whitening and Coloring Transforms S14 MH
    Data whitening is required prior to many data processing techniques such as [[PCA|principal component analysis]], independent compon <center>[[Image:fig1_whiten.png|750px|thumb|left|Fig 1: Scatter plots and Contours. All con
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  • KnnDensityEstimation
    The approach of K-Nearest Neighbors is very popular in signal and image processing for clustering and classification of patterns. It is an non-parametric dens <!--<center>[[Image:KnnImage.PNG]]</center>
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  • Maximum Likelihood Estimators and Examples
    [2]. C. Bouman, ECE 641 'Model Based Image Processing', Spring 2013.
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  • 2014 Fall ECE 438 Boutin
    = [[ECE438|ECE 438]]: Digital Signal Processing with Applications = ...% bonus by contributing a Rhea page on a subject related to digital signal processing. To pick a subject, simply write your name next to it. Your page will be gr
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  • ECE438 Lab Fall 2014
    =Lab Wiki: [[2014_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2014= ...tp://engineering.purdue.edu/VISE/ee438L/lab9/pdf/lab9a.pdf Lab 9a - Speech Processing]
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  • Lecture Schedule ECE438Fall14 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
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  • Upsampling Slecture Molveraz
    [[Category:signal processing]] In order to remove or at least attenuate the unwanted image spectra, a low pass filter must be placed immediately after upsampling. In
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  • HonorsContractECE438Fall14
    [[Category:signal processing]] [[Category:image processing]]
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  • ECE-QE CS1-2013
    Communication, Networking, Signal and Image Processing (CS)
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  • ECE PhD QE CNSIP 2013 Problem1.1
    Communication, Networking, Signal and Image Processing (CS)
    3 KB (566 words) - 17:28, 23 February 2017
  • ECE PhD QE CNSIP 2013 Problem1.2
    Communication, Networking, Signal and Image Processing (CS)
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  • ECE PhD QE CNSIP 2013 Problem1.3
    Communication, Networking, Signal and Image Processing (CS)
    3 KB (534 words) - 21:02, 5 August 2018
  • ECE PhD QE CNSIP 2013 Problem1.4
    Communication, Networking, Signal and Image Processing (CS)
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  • ECE-QE CS5-2013
    <font size="4">Communication, Networking, Signal and Image Processing (CS)</font> <font size="4">Question 5: Image Processing </font>
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  • QE637 2014 Pro2
    ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) =
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  • QE637 2013 Pro1
    ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) = which is the DC component of the image.
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  • QE637 2013 Pro2
    ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) = <span class="texhtml">'''[[Image:QE637 2013 P2 F1.PNG]]'''</span>
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  • Lecture38ECE438F14
    [[Category:signal processing]] ...monstrate how to use the formula using an average filter and a 6x6 digital image. The issue of the boundary conditions was discussed.
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  • Lecture39ECE438F14
    [[Category:signal processing]] Today we looked at how to sharpen an image with an unsharp mask. The images I showed in class are in the links below.
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  • ECE438HonorsContractFST
    [[Image:f(x,y)_projection.jpg|650px|thumb|left|Fig 1: (a) Original Object to be Sca [[Image:FST_Slices.jpg|400px|thumb|left|Fig 2: <math>P_{\theta}(\rho)</math> at Var
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  • HonorsContractECE438CoordinateAndRadon
    [[Image:GeometricInterpretation.jpg|400px|thumb|left|Fig 1: Geometric Interpretatio ...ransform through a parallel projection method. To start let us consider an image with density <math>f(x,y)</math> shown in Figure 2.
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  • ECE438HonorsContractCT
    [[Image:CT_scanner.jpg|250px|thumb|left|Fig 1: A CT Scanner]] [[Image:CT_Internals_labeled_scaled.jpg|400px|thumb|right|Fig 2: CT Scanner Interna
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  • HonorsContractECE438CBP
    [[Image:CBP_3D_back_projection.jpg|700px|thumb|left|Fig 1: A Projection Being Back ...ast <math>n</math> back projections for a <math>n</math> by <math>n</math> image.
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  • ECE438HonorsContractMRI
    [[Image: MRI_scanner.jpg|400px|thumb|left|Fig 1: An MRI Scanner]] [[Image: MRI_atom_processsion.jpg|400px|thumb|left|Fig 2: The Procession Path of an
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  • ECE438 Lab Fall 2015
    =Lab Wiki: [[2015_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2015= ...engineering.purdue.edu/VISE/ee438L/lab9/pdf/lab9a.pdf Lab 8a (9a) - Speech Processing] -([http://www.sfu.ca/sonic-studio/handbook/Formant.html A brief note for F
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  • Lecture Schedule ECE438Fall15 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
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  • ECE438 Lab Spring 2015
    =Lab Wiki: [[2015_Spring_ECE_438_Ersoy|ECE 438: Digital Signal Processing With Applications]], Spring 2015= ...tp://engineering.purdue.edu/VISE/ee438L/lab9/pdf/lab9a.pdf Lab 9a - Speech Processing]
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  • ECE PhD QE CNSIP 2001 Problem1.4
    Communication, Networking, Signal and Image Processing (CS)
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  • ECE PhD QE CNSIP Jan 2002 Problem1.1
    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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  • ECE PhD QE CNSIP Jan 2002 Problem1.5
    Communication, Networking, Signal and Image Processing (CS) [[Image:pasted19.png]]
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  • ECE PhD QE CNSIP 2002 Problem1.1
    Communication, Networking, Signal and Image Processing (CS) [[Image:pasted20.png]]
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS) [[Image:pasted40.png]]
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  • ECE PhD QE CNSIP Jan 2003 Problem1
    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS) [[Image:pasted21.png]]
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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  • ECE PhD QE CNSIP Jan 2004 Problem1.1
    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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  • ECE PhD QE CNSIP 2005 Problem1.1
    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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  • ECE PhD QE CNSIP Jan 2006 Problem1.1
    Communication, Networking, Signal and Image Processing (CS) [[Image:003.png]]
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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  • ECE PhD QE CNSIP 2006 Problem1.1
    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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    Communication, Networking, Signal and Image Processing (CS)
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  • ECE PhD QE CNSIP 2008 Problem1.3
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (906 words) - 11:09, 10 March 2015
  • ECE PhD QE CNSIP 2008 Problem1.2
    Communication, Networking, Signal and Image Processing (CS)
    3 KB (379 words) - 14:42, 10 August 2018
  • ECE-QE CS1-2011 solusion-3
    Communication, Networking, Signal and Image Processing (CS) "Communication, Networks, Signal, and Image Processing" (CS)- Question 1, August 2011
    5 KB (882 words) - 01:54, 31 March 2015
  • ECE-QE CS1-2011 solusion-4
    Communication, Networking, Signal and Image Processing (CS) "Communication, Networks, Signal, and Image Processing" (CS)- Question 1, August 2011
    8 KB (1,336 words) - 01:53, 31 March 2015
  • 2015 Fall ECE 438 Boutin Implementation of Quantization Yitong Wang
    ...operate color quantization separately on these 3 channels, then reform the image. ...colors, the brightness value has to be rounded off to fit the size of the image.
    4 KB (626 words) - 21:58, 29 November 2015
  • Implementation of Color Quantization
    ...operate color quantization separately on these 3 channels, then reform the image. ...colors, the brightness value has to be rounded off to fit the size of the image.
    4 KB (630 words) - 22:24, 29 November 2015
  • Using filters to enhance the view of images
    we will learn how to use visual technique in Matlab to Smooth and Sharpen an image . ==1. Image Smoothing ==
    2 KB (316 words) - 00:15, 30 November 2015
  • Using Matlab to enhance images
    we will learn how to use visual technique in Matlab to Smooth and Sharpen an image . ==1. Image Smoothing ==
    2 KB (316 words) - 00:25, 30 November 2015
  • ECE-QE CS5-2015
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    3 KB (524 words) - 12:53, 7 December 2015
  • CS5 2015 Aug prob2
    [[Category:image processing]] ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) =
    2 KB (273 words) - 23:58, 3 December 2015
  • CS5 2015 Aug prob1 solution
    [[Category:image processing]] ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) =
    2 KB (315 words) - 18:48, 2 December 2015
  • CS5 2015 Aug prob1
    [[Category:image processing]] ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) =
    3 KB (559 words) - 23:34, 3 December 2015
  • CS5 2015 Aug prob2 solution
    [[Category:image processing]] ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) =
    1 KB (176 words) - 21:46, 2 December 2015
  • ECE-QE CS1-2015
    Communication, Networking, Signal and Image Processing (CS)
    2 KB (351 words) - 00:17, 4 December 2015
  • ECE PhD QE CNSIP 2015 Problem1.1
    Communication, Networking, Signal and Image Processing (CS)
    4 KB (851 words) - 23:04, 31 January 2016
  • ECE PhD QE CNSIP 2015 Problem1.2
    Communication, Networking, Signal and Image Processing (CS)
    6 KB (973 words) - 00:57, 1 February 2016
  • ECE PhD QE CNSIP 2015 Problem1.4
    Communication, Networking, Signal and Image Processing (CS)
    5 KB (1,064 words) - 23:38, 31 January 2016
  • Walther MA279 Spring2016 topic2
    ...ation of these two algorithms is used to sketch novel drawings of an input image. ...will explore the input image and attempt to find a detailed region of the image. After it has located a detailed region, the PSO algorithm then attempts to
    14 KB (2,177 words) - 11:28, 24 April 2016
  • Lecture Schedule ECE438Fall16 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    10 KB (1,357 words) - 17:02, 14 September 2016
  • ECE438 Lab Fall 2016
    =Lab Wiki: [[2016_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2016= ...engineering.purdue.edu/VISE/ee438L/lab9/pdf/lab9a.pdf Lab 8a (9a) - Speech Processing] -([http://www.sfu.ca/sonic-studio/handbook/Formant.html A brief note for F
    2 KB (301 words) - 14:05, 26 September 2016
  • Introduction of Optical Character Recognition (ORC)
    ...It is pretty interesting and essential to recognize the characters in the image because it could help greatly in some certain area: auto plate number recog ...quite similar or even identical with other comparison. This is the testing processing: extracting the feature statistics and then compare values to classify the
    8 KB (1,405 words) - 22:56, 27 November 2016
  • The Z-transform
    ...ransform is a very useful and important technique, used in areas of signal processing, system design and analysis and control theory. ...m as a z-transform without a '''ROC''' would not be of much help in signal processing. More on the region of convergence will be discussed below.
    10 KB (1,800 words) - 10:41, 27 November 2016
  • Lecture Schedule ECE438Spring17 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    10 KB (1,357 words) - 09:45, 8 January 2017
  • 2017 Fall ECE 438 Boutin
    = [[ECE438|ECE 438]]: Digital Signal Processing with Applications = ...% bonus by contributing a Rhea page on a subject related to digital signal processing. To pick a subject, simply write your name next to it. Please do not simply
    3 KB (421 words) - 16:18, 10 December 2017
  • ECE438 Lab Spring 2017
    =Lab Wiki: [[2017_Spring_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Spring 2017= ...tp://engineering.purdue.edu/VISE/ee438L/lab9/pdf/lab9a.pdf Lab 9a - Speech Processing] - Download and use [[Media:start.wav|start.wav]] for Part 2.2 instead of t
    2 KB (325 words) - 18:20, 30 March 2017
  • Quantization and Classification using K-Means Clustering
    =K-Means Clustering Applications in Digital Signal Processing= ...g method. This method can be applied to implement color quantization in an image by finding clusters of pixel values. Another useful application would be au
    6 KB (903 words) - 00:02, 24 April 2017
  • Audio filtering of the Trayvon Martin 911 call
    == Audio Processing== ...B code below. The spectrogram function built into MATLAB provided a better image of the frequency spectrum for these signals than the one created in Lab 9a
    6 KB (984 words) - 21:39, 23 April 2017
  • An Implementation of Sobel Edge Detection
    ...Sobel Edge detection is a widely used algorithm of edge detection in image processing. Along with Canny and Prewitt, Sobel is one of the most popular edge detect ...r to form a new image which represents the sum of the X and Y edges of the image. However, these images can be processed separately as well. This will be co
    7 KB (1,184 words) - 20:31, 23 April 2017
  • August 2012(Published on May 2017)
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    3 KB (478 words) - 18:07, 1 May 2017
  • QE637 sol2012 Q1
    [[Category:image processing]] <font size="4"> Communication Networks Signal and Image processing (CS) </font>
    6 KB (1,020 words) - 19:43, 2 May 2017
  • QE637 sol2012
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    3 KB (466 words) - 21:08, 2 May 2017
  • QE637 sol2012 Q2
    [[Category:image processing]] <font size="4"> Communication Networks Signal and Image processing (CS) </font>
    5 KB (823 words) - 20:43, 2 May 2017
  • QE637 sol2013
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    5 KB (755 words) - 20:27, 2 May 2017
  • QE637 sol2013 Q1
    <font size="4"> Communication Networks Signal and Image processing (CS) </font>
    6 KB (1,023 words) - 21:03, 2 May 2017
  • QE637 sol2013 Q2
    <font size="4"> Communication Networks Signal and Image processing (CS) </font>
    8 KB (1,092 words) - 21:06, 2 May 2017
  • ECE-QE CS5-2014
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    3 KB (566 words) - 16:39, 18 May 2017
  • CS5 2014 Aug prob1
    [[Category:image processing]] ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) =
    3 KB (529 words) - 16:42, 18 May 2017
  • CS5 2014 Aug prob2
    [[Category:image processing]] ...ams|ECE Ph.D. Qualifying Exam]] in Communication Networks Signal and Image processing (CS) =
    5 KB (887 words) - 11:08, 13 August 2018
  • ECE438 Lab Fall 2017
    =Lab Wiki: [[2017_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2017= ...tp://engineering.purdue.edu/VISE/ee438L/lab9/pdf/lab9a.pdf Lab 9a - Speech Processing] - Download and use [[Media:start.wav|start.wav]] for Part 2.2 instead of t
    3 KB (418 words) - 21:57, 7 January 2018
  • Use Matlab as Your Photoshop!
    ...an easy way. Adobe Photoshop is a software that provides different kind of image editing features, graphic design, and digital art. '''DIGITAL IMAGE PROCESSING (DIP)'''
    5 KB (799 words) - 20:12, 9 December 2017
  • Sound
    ...nd displaying it vertically. This is done repeatedly to create the overall image. Spectrograms can be manipulated to analyze specific signal properties by a === Processing & Displaying Your Signal ===
    3 KB (524 words) - 19:45, 2 December 2017
  • Adobe Photoshop
    ...an easy way. Adobe Photoshop is a software that provides different kind of image editing features, graphic design, and digital art. '''DIGITAL IMAGE PROCESSING (DIP)'''
    5 KB (799 words) - 00:59, 4 December 2017
  • ECE438 Lab Spring 2018
    ...13: [http://engineering.purdue.edu/VISE/ee438L/lab9/pdf/lab9a.pdf Speech Processing 1] - Download and use [[Media:start.wav|start.wav]] for Part 2.2 instead of ...14: [http://engineering.purdue.edu/VISE/ee438L/lab9/pdf/lab9b.pdf Speech Processing 2] - A brief note for [http://www.sfu.ca/sonic-studio/handbook/Formant.html
    3 KB (375 words) - 13:15, 25 January 2018
  • Signals, Systems, and Biomedical Engineering
    Biomedical signal processing aims at extracting significant information from physiological signals, whic ...and earlier detection of both heart attacks and strokes. Biomedical signal processing is most useful in the critical care setting due to patient data needing to
    12 KB (1,702 words) - 20:48, 9 April 2018
  • ECE-QE CS1-2016
    Communication, Networking, Signal and Image Processing (CS)
    3 KB (502 words) - 15:33, 19 February 2019
  • The 2-D Fourier Transform and Images
    ...ical meaning of an image’s Fourier Transform and what such a transformed image looks like. '''Fourier Transform of an Image'''<br />
    2 KB (402 words) - 20:47, 1 December 2018
  • QE 2017 CS-5
    Question 5: Image Processing
    2 KB (338 words) - 16:48, 19 February 2019
  • 2017CS-5-1
    Question 5: Image Processing This is a sharpen filter. The image will become more sharpen as <math>\lambda</math> increases.
    2 KB (282 words) - 11:58, 25 February 2019
  • 2017CS-5-2
    Question 5: Image Processing
    2 KB (266 words) - 12:00, 25 February 2019
  • ECE-QE-CS5
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    3 KB (575 words) - 03:07, 26 April 2020
  • ECE-QE-CS5 2016
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    2 KB (445 words) - 20:45, 9 July 2019
  • 2019 Fall ECE 438 Boutin
    = [[ECE438|ECE 438]]: Digital Signal Processing with Applications = ...% bonus by contributing a Rhea page on a subject related to digital signal processing. To pick a subject, simply write your name next to it. Please do not simply
    4 KB (467 words) - 02:18, 10 December 2019
  • ECE438 Lab Fall 2019
    =Lab wiki for ECE 438:Digital Signal Processing With Applications, Fall 2019= ...tp://engineering.purdue.edu/VISE/ee438L/lab9/pdf/lab9a.pdf Lab 9a - Speech Processing] - [[Media:lab9agradingrubric.pdf|Lab9a cover sheet with grading rubric]]
    4 KB (572 words) - 11:16, 3 December 2019
  • Lecture Schedule ECE438Fall2019 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    10 KB (1,356 words) - 18:52, 20 August 2019
  • Ece438f19achakrabortybonus
    ...This page will demonstrate how the median filter size affects the filtered image in terms of-<br /> 1) Mean Squared Error of filtered image compared to the original image<br />
    6 KB (1,000 words) - 23:15, 30 November 2019
  • Applications of Convolution: Simple Image Blurring
    <big>'''Applications of Convolution: Image Blurring'''</big> ...this page, we will explore the application of the convolution operation in image blurring.
    7 KB (1,006 words) - 22:10, 22 December 2019
  • Critique SH by YC
    [[Category:image processing]] Communication, Networking, Signal and Image Processing (CS)
    2 KB (484 words) - 15:45, 25 February 2020
  • Ece438f19mvermabonus
    <big>'''Image Convolution with Different Filter Applications'''</big> ...pped filter matrix together to get the value of that pixel of the filtered image. This process is explained below:
    4 KB (624 words) - 09:11, 6 December 2019
  • Walther MA271 Fall2020 topic20
    The transform is also used in the field of image processing. Many optical character recognition algorithms rely on the Fourier transfor
    12 KB (2,051 words) - 14:20, 5 December 2020
  • Walther MA271 Fall2020 topic9
    [[Laplace Operator Page 7 2020|7. Applications: Image Processing]]
    805 B (85 words) - 23:56, 6 December 2020
  • Introduction to Nyquist’s Theorem
    ...and valleys, and the heights of the peaks are called amplitudes. In signal processing, there are discrete-time signals and continuous-time signals. When time is
    2 KB (375 words) - 21:03, 6 December 2020
  • Laplace Operator Page 7 2020
    ==Applications: Image Processing== In image processing, it is often necessary to find edges of shapes. Images are, by nature, comp
    2 KB (392 words) - 23:11, 6 December 2020
  • Laplace Operator Page 8 2020
    ....org/3.4/d5/db5/tutorial_laplace_operator.html OpenCV Laplace Filter Image Processing]
    2 KB (242 words) - 00:36, 7 December 2020
  • Applications
    ...t's Theorem is helpful in things such as working with radio devices, image processing, and audio engineering. ...eorem, then, is still relevant, and its impact is familiar. When capturing image data, pixels are the sample rate, since they are the size of each piece of
    4 KB (610 words) - 00:55, 7 December 2020
  • Further Reading and References
    ...www.tutorialspoint.com/dip/image_processing_introduction.htm Digital Image Processing]
    2 KB (257 words) - 00:56, 7 December 2020
  • Swanson MA279 Fall2022 topic3
    ...ple, images of flowers and images of non-flowers, gives feedback on if the image looks like a flower. These steps continue until the second algorithm is foo ...k best images, where k is a number provided to the model, and how good an image is determined by the judge, and provides the images as output.
    15 KB (2,564 words) - 11:25, 29 November 2022

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