Create the page "Digital image processing" on this wiki! See also the search results found.

  • 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
  • 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
  • List of Course Wikis
    :[[2015_Spring_ECE_438_Ersoy|ECE438: "Digital SIgnal Processing", Prof. Ersoy]] :[[2014_Fall_ECE_270_Brown|ECE270: Digital System Design, Prof. Brown]]
    13 KB (1,570 words) - 13:53, 7 August 2018
  • ECE637 (BoumanSpring2009)
    [[Category:image processing]] *Interested in digital communications? Please consider attending this [[Tektronix_presentation_Feb
    1 KB (200 words) - 08:03, 9 April 2013
  • CourseNotes1 (BoutinSpring2009)
    [[Category:signal processing]] ECE438 is about digital signals and systems
    3 KB (532 words) - 06:43, 16 September 2013
  • CourseNotes30 (BoutinSpring2009)
    [[Category:signal processing]] ...e "Continuous Time" area of the camera. There are also numerous sources of digital interference in camera systems that we didn't get to in lecture but i'll go
    2 KB (324 words) - 06:45, 16 September 2013
  • Reading guide (ECE438BoutinSpring2009)
    Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. *[http://vise.www.ecn.purdue.edu/VISE/ee438L/lab5/pdf/lab5a.pdf First lab on digital filter design]
    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
  • 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
  • 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
  • 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. ***Prof. Bouman's lecture notes on digital Filter design: [https://engineering.purdue.edu/~bouman/ece438/lecture/modul
    9 KB (1,237 words) - 09:29, 5 October 2009
  • Dhruv Lamba: User Page
    ...rocessing, (mainly Spectral Analysis, Filter Design and Image Processing), Digital Systems Design and Psychology (sounds weird for a EE right? But the brain [[Image:Dhruv_Lamba.jpg]]
    2 KB (268 words) - 09:43, 14 May 2010
  • Application of Upsampling in High-Quality Audio Reconstruction
    ...reconstruction, where a low pass analog filter is used on the output of a digital-to-analog converter to attenuate unwanted frequency components above the Ny [[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 ...develop methods for uniquely identifying phonemes in speech. Additionally, digital speech recognition depends on the ability to uniquely-identify single words
    8 KB (1,268 words) - 07:16, 23 September 2009
  • Introduction to Wavelets
    ...l Engineers, the first person that comes to mind when someone says "SIGNAL PROCESSING" is Fourier. ..., to the slightly scary, yet extremely promising world of discrete (a.k.a "digital") signals.
    10 KB (1,646 words) - 11:26, 18 March 2013
  • 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 ...signal and image processing.You will learn all sort of things to create a digital sound, modification of images and designing filters,to name a few.Lectures
    17 KB (3,004 words) - 08:11, 15 December 2011
  • 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
  • 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. ***Prof. Bouman's lecture notes on digital Filter design: [https://engineering.purdue.edu/~bouman/ece438/lecture/modul
    9 KB (1,331 words) - 07:15, 29 December 2010
  • ECE637
    [[Category:image processing]] "Digital Image Processing I" '''
    2 KB (190 words) - 11:23, 29 May 2013
  • 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
  • ECE438 Week14 Quiz
    [[Category:digital signal processing]] [[Image:Q3_table.jpg]]
    3 KB (515 words) - 10:43, 11 November 2011
  • 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
  • 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
  • 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
  • Lecture36ECE438F11
    [[Category:image processing]] [[Category:digital signal processing]]
    2 KB (213 words) - 06:32, 11 September 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
  • 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 ...think that ABC is misleading the public with their interpretation of what "digital video enhancement" does?'''
    4 KB (635 words) - 09:25, 23 April 2012
  • 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
    ...er works on a physical level, but not necessary to interpret the analog or digital signals generated from the sensor. ...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
    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=
    3 KB (370 words) - 11:22, 29 May 2013
  • Lecture1 video ECE637 Image Processing 1 Bouman
    [[Category:image processing]] =Digital Image Processing 1 ([[ECE637]])=
    618 B (72 words) - 12:51, 26 January 2013
  • Lecture2 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 2 - CTFT and CSFT [[Category:Image ProcessingECE 637Spring2013Bouman]]
    233 B (29 words) - 10:06, 13 February 2013
  • Lecture3 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 3 - CSFT and Rep and Comb Relations [[Category:Image ProcessingECE 637Spring2013Bouman]]
    251 B (34 words) - 10:07, 13 February 2013
  • Lecture4 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 4 - Optical Imaging Systems [[Category:Image ProcessingECE 637Spring2013Bouman]]
    243 B (29 words) - 10:07, 13 February 2013
  • Lecture5 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 5 - Helical Scan Multislice CT and PET [[Category:Image ProcessingECE 637Spring2013Bouman]]
    254 B (33 words) - 10:07, 13 February 2013
  • Lecture6 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 6 - Tomographic Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
    246 B (30 words) - 10:08, 13 February 2013
  • Lecture7 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 7 - FPB and Magnetic Resonance Imaging [[Category:Image ProcessingECE 637Spring2013Bouman]]
    254 B (33 words) - 10:09, 13 February 2013
  • Lecture8 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 8 - MRI Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
    238 B (29 words) - 10:11, 13 February 2013
  • Lecture9 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 9 - MRI and C-programming [[Category:Image ProcessingECE 637Spring2013Bouman]]
    241 B (29 words) - 10:12, 13 February 2013
  • Lecture10 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 10 - C-programming [[Category:Image ProcessingECE 637Spring2013Bouman]]
    235 B (29 words) - 10:13, 13 February 2013
  • Lecture11 video ECE637 Image Processing 1 Bouman
    Digital Image Processing I - Lecture 11 - DTFT, DSFT, Sampling, and Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
    261 B (33 words) - 10:14, 13 February 2013
  • ECE637 Bouman lectures Image Processing sLecture mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    2 KB (246 words) - 07:21, 26 February 2014
  • ECE637 optical imaging systems S13 mhossain
    <!-- keyword: ECE 637, digital image processing --> [[Category:image processing]]
    2 KB (318 words) - 07:23, 26 February 2014
  • ECE637 optical imaging systems lens S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    8 KB (1,399 words) - 07:23, 26 February 2014
  • ECE637 optical imaging systems space domain models S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    7 KB (1,274 words) - 07:24, 26 February 2014
  • ECE637 Bouman lecture notes Foreword mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    2 KB (311 words) - 07:22, 26 February 2014
  • ECE637 optical imaging systems intro S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    3 KB (445 words) - 07:23, 26 February 2014
  • Slectures
    ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]], by Maliha Hossain ...ystem_Design_Slecture_Wayner_Table_of_Contents|The Brown-Meyer Lectures on Digital System Design]], by Robert Wayner
    1 KB (196 words) - 05:26, 23 July 2013
  • ECE637 tomographic reconstruction intro S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    8 KB (1,168 words) - 07:24, 26 February 2014
  • ECE637 tomographic reconstruction S13 mhossain
    <!-- keyword: ECE 637, digital image processing --> [[Category:image processing]]
    4 KB (443 words) - 07:24, 26 February 2014
  • ECE637 tomographic reconstruction CT S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    9 KB (1,390 words) - 07:24, 26 February 2014
  • ECE637 tomographic reconstruction PET S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    6 KB (913 words) - 07:24, 26 February 2014
  • ECE637 tomographic reconstruction coordinate rotation S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    6 KB (834 words) - 07:25, 26 February 2014
  • 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.
    4 KB (559 words) - 12:13, 26 September 2017
  • ECE637 tomographic reconstruction convolution back projection S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    9 KB (1,486 words) - 07:25, 26 February 2014
  • ECE637 tomographic reconstruction radon transform S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    6 KB (942 words) - 07:25, 26 February 2014
  • ECE637 tomographic reconstruction fourier slice theorem S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    9 KB (1,485 words) - 12:30, 17 April 2014
  • ECE637 MRI S13 mhossain
    [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
    27 KB (4,777 words) - 07:25, 26 February 2014
  • ECE637 discrete parameter signals and systems S13 mhossain
    <!-- keyword: ECE 637, digital image processing --> [[Category:image processing]]
    2 KB (278 words) - 07:26, 26 February 2014
  • 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]]'''
    10 KB (1,726 words) - 07:26, 26 February 2014
  • Lecture Schedule ECE438Fall13 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    9 KB (1,353 words) - 09:04, 11 November 2013
  • 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]]
    8 KB (1,313 words) - 15:19, 1 May 2016
  • ECE438 digital signal processing learning material
    [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
    4 KB (471 words) - 19:34, 9 February 2015
  • Lecture36ECE438F13
    [[Category:signal processing]] [[Category:image processing]]
    2 KB (315 words) - 06:46, 15 November 2013
  • 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 ...ting what is being said. It provides the foundation for key management and digital signatures, both integral parts of any cryptosystem. Below is a pictorial r
    19 KB (3,051 words) - 22:23, 4 December 2013
  • 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
    17 KB (2,603 words) - 10:38, 22 January 2015
  • 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
    13 KB (1,944 words) - 16:51, 13 March 2015
  • ECE438 Lab Fall 2014
    =Lab Wiki: [[2014_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2014= ...8: [http://engineering.purdue.edu/VISE/ee438L/lab5/pdf/lab5a.pdf Lab 5a - Digital Filter Design]
    2 KB (380 words) - 08:18, 2 December 2014
  • Lecture Schedule ECE438Fall14 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    9 KB (1,320 words) - 04:46, 11 September 2014
  • 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
    5 KB (790 words) - 10:01, 14 March 2015
  • HonorsContractECE438Fall14
    [[Category:signal processing]] [[Category:image processing]]
    2 KB (259 words) - 19:30, 9 February 2015
  • 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.
    3 KB (373 words) - 07:08, 24 November 2014
  • 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
    8 KB (1,252 words) - 19:26, 9 February 2015
  • 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.
    5 KB (788 words) - 19:25, 9 February 2015
  • 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
    7 KB (1,072 words) - 19:25, 9 February 2015
  • 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.
    6 KB (927 words) - 19:26, 9 February 2015
  • 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
    14 KB (2,487 words) - 19:26, 9 February 2015
  • ECE438 Lab Fall 2015
    =Lab Wiki: [[2015_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2015= *Week 8: [[Media:lab7aECE438F15.pdf| Lab 7a - Digital Filter Design]]
    2 KB (303 words) - 13:45, 5 October 2015
  • Lecture Schedule ECE438Fall15 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    10 KB (1,356 words) - 13:19, 19 October 2015
  • ECE438 Lab Spring 2015
    =Lab Wiki: [[2015_Spring_ECE_438_Ersoy|ECE 438: Digital Signal Processing With Applications]], Spring 2015= ...5: [http://engineering.purdue.edu/VISE/ee438L/lab5/pdf/lab5a.pdf Lab 5a - Digital Filter Design]
    2 KB (384 words) - 11:44, 21 April 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
  • 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= *Week 9: [[Media:lab7aECE438F15.pdf| Lab 7a - Digital Filter Design]]
    2 KB (301 words) - 14:05, 26 September 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= *Week 9: [[Media:lab7aECE438F15.pdf| Lab 7a - Digital Filter Design]]
    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

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Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

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