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  • Main Page
    :[[ECE438|ECE438: "Digital Signal Processing with Applications"]]
    2 KB (209 words) - 13:07, 9 September 2022
  • Rhea Portal
    *[[ECE438|ECE438: "Digital Signal Processing with Applications]], the main page for this popular senior level ECE course ...nal_processing_practice_problems_list|Practice problems on "Digital Signal Processing"]]
    6 KB (877 words) - 07:22, 21 March 2013
  • 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
  • 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
  • ECE 438 professor Boutin Spring 2009 Course Details
    =ECE 438: Digital Signal Processing with Applications=
    558 B (80 words) - 09:55, 27 February 2009
  • CourseNotes1 (BoutinSpring2009)
    [[Category:signal processing]] ECE438 is about digital signals and systems
    3 KB (532 words) - 06:43, 16 September 2013
  • CourseNotes2 (BoutinSpring2009)
    [[Category:signal processing]] <li>Signal Characteristics</li>
    3 KB (508 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. ...due.edu/~bouman/ece438/lecture/module_1/1.1_signals/1.1.1_signal_types.pdf Signal Types]
    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= | [[student_summary_image_processing|Image Processing]]
    7 KB (1,067 words) - 12:05, 25 June 2010
  • Exam3 ECE301Fall2008mboutin
    #'''Signal Reconstruction Using Interpolation:''' the fitting of a continuous signal to a set of sample values #Processing CT Signals Using DT Systems (Vinyl to CD)
    21 KB (3,312 words) - 11:58, 5 December 2008
  • Final ECE301Fall2008mboutin
    :(c) an ability to determine the response of linear systems to any input signal convolution in the time domain. [1,2,4;a,e,k] :(e) an ability to determine the response of linear systems to any input signal by transformation to the frequency domain, multiplication, and inverse tran
    7 KB (1,017 words) - 10:05, 11 December 2008
  • Chapter 7 ECE301Fall2008mboutin
    #'''Signal Reconstruction Using Interpolation:''' the fitting of a continuous signal to a set of sample values #Processing CT Signals Using DT Systems (Vinyl to CD)
    2 KB (254 words) - 07:05, 8 December 2008
  • ECE438 Old Kiwi
    == Digital Signal Processing and Applications ==
    48 B (5 words) - 11:49, 5 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
  • ECE438:ECE438 Old Kiwi
    This is the kiwi page for the course ECE438: Digital Signal Processing With Applications
    479 B (72 words) - 12:00, 6 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
  • Course Summary ECE438Fall09mboutin
    Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. * Basic Signals and Signal Properties
    9 KB (1,237 words) - 09:29, 5 October 2009
  • ECE438
    [[Category:digital signal processing]] [[Category:signal processing]]
    1,014 B (121 words) - 12:11, 27 March 2015
  • World cup 2010 in South Africa
    ...w.waves.com/content.aspx?id=5798 removing the sound of vuvuzulas] from the digital recordings of the matches.
    2 KB (260 words) - 09:22, 23 August 2010
  • Student summary sampling part1 ECE438F09
    [[Category:signal processing]] ...frequency spectrum of a signal the faster we sample it. Naturally, if the signal changes much faster than the sampling rate, these changes will not be captu
    8 KB (1,452 words) - 06:49, 16 September 2013
  • 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 **[[Digital Speech Generation]] ECE 438
    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 ...ed to relax requirements on analog low pass filter design while decreasing signal distortion.
    5 KB (840 words) - 19:08, 22 September 2009
  • Speech Spectrogram
    ...e the magnitude of each frequency component's contribution to the original signal. Finally, the Fourier Transform is calculated to express these coefficients ...at is commonly referred to as the "spectrum" of the original discrete-time signal, x[n]. To demonstrate why this is the case, consider the following discrete
    8 KB (1,268 words) - 07:16, 23 September 2009
  • Notes on Discrete Fourier Transform
    [[Category:digital signal processing]] Definition: let x[n] be a DT signal with Period N.
    3 KB (640 words) - 13:17, 2 December 2011
  • DSP in Guitar Effects
    ...ovides more flexibility and a wider range of effects for sound than analog processing. ...o be able to shift/attenuate/amplify different frequency components of the signal. Once we have the fourier transform, we can start applying some effects to
    1 KB (206 words) - 09:10, 23 September 2009
  • Audio Signal Filtering
    ==Audio Signal Filtering== *Audio signals in the digital world are simply 1-D signals that contain the values of the sampled sound v
    5 KB (822 words) - 11:54, 21 September 2012
  • Male vs. Female Voice characterestics
    [[Category:digital signal processing]] ...ectrograms are based on Short Time Fourier Transform(STFT),where the input signal is broken down into blocks and then DFT of each block is take and averaged
    2 KB (356 words) - 06:07, 23 September 2014
  • Student summary speech
    ...this analog signal into a digital so that we can perform various forms of processing on it. * Since phonemes are the smallest block of a speech signal, it is no surprise that they form the basis for speech analysis.
    5 KB (841 words) - 15:26, 10 April 2013
  • SupplementarySpeech prelecture
    [[Category:Digital Signal Processing]] - Going through tube delays the signal (show function)
    2 KB (390 words) - 07:46, 14 November 2011
  • Introduction to Wavelets
    ...l Engineers, the first person that comes to mind when someone says "SIGNAL PROCESSING" is Fourier. *Jean Baptiste Joseph Fourier (1768 - 1830) laid a rock-solid foundation for signal analysis, when he claimed that all (continuously differentiable) signals ca
    10 KB (1,646 words) - 11:26, 18 March 2013
  • SupplementalSpeech prelecture
    [[Category:Digital Signal Processing]] - Going through tube delays the signal (show function)
    2 KB (387 words) - 07:47, 14 November 2011
  • Peer Legacy ECE301
    ...concepts of Fourier and Z transforms should be absolutely clear for signal processing (DSP ECE 438).--[[User:Hlalwani|Hersh Lalwani]] 14:55, 11 December 2009 (UT *This class is the introduction to digital and analog communications. It is a hard class because it involves a lot of
    14 KB (2,366 words) - 17:32, 21 April 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
  • Peer legacy
    *[[Peer_Legacy_ECE438|ECE438: Digital Signal Processing]]
    4 KB (489 words) - 06:24, 24 April 2012
  • Test Page
    .... I had to keep track of the object boundaries while segmenting it. While processing an image ,its very essential to work with objects with finite boundaries,so ...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
    ...s. I had to keep track of the object boundaries while segmenting it. While processing an image ,its very essential to work with objects with finite boundaries,so ...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
  • Snikitha ListECE301
    ...ransform, bilateral z-Transform. Sampling, quantization, and discrete-time processing of continuous-time signals. Discrete-time nonlinear systems: median-type fi <br/>iii. an ability to determine the response of linear systems to any input signal by convolution in the time domain.
    3 KB (394 words) - 07:08, 4 May 2010
  • My use for the DFT!
    [[Category:digital signal processing]] ...hat can be used to describe almost anything in the world be it an electric signal or the stock market. Did you know that our brain picks up different frequen
    13 KB (2,348 words) - 13:25, 2 December 2011
  • ECE438 digital signal processing course motivations
    [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
    1 KB (184 words) - 19:33, 16 March 2015
  • 2010 Fall MA 265 Walther
    *Hello all! The students in [[ECE438|ECE438: "Digital Signal Processing"]] (DSP) will be talking to you this semester. We hope you do not mind this
    7 KB (1,024 words) - 10:42, 3 November 2011
  • 2010 Fall MA 35100 Kummini
    *Hello all! The students in [[ECE438|ECE438: "Digital Signal Processing"]] (DSP) will be talking to you this semester. We hope you do not mind this
    1 KB (154 words) - 12:16, 8 December 2010
  • 2010 Fall ECE 438 Boutin
    ...nction|DTFT of a Window Function]] (used when discussing leakage effect of signal truncation in discrete-time). ...% 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. *Basic Signals and Signal Properties
    9 KB (1,331 words) - 07:15, 29 December 2010
  • Lecture1ECE438F10
    ...ction to [[About_Rhea|Rhea]]. We then talked about what is "Digital Signal Processing". In particular, we discussed the two following applications:
    2 KB (239 words) - 04:24, 27 October 2010
  • ECE438 Lab Fall 2010
    =Lab Wiki - [[ECE438|ECE 438: Digital Signal Processing With Applications]], Fall 2010=
    3 KB (431 words) - 07:07, 31 January 2011
  • Z-transforms and inverse z-transforms ECE438F10
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    4 KB (662 words) - 12:44, 26 November 2013
  • ECE438 Week5 Quiz
    [[Category:digital signal processing]] <math>\text{3. Compute the Fourier series coefficients of the following signal:} \,\!</math>
    2 KB (315 words) - 10:39, 11 November 2011
  • ECE438 Week6 Quiz
    [[Category:digital signal processing]] <math>\text{ Sample a continuous signal x(t)=sin(}\omega t)\text{ with period of T, }</math>
    2 KB (373 words) - 10:41, 11 November 2011
  • ECE438 Week7 Quiz
    [[Category:digital signal processing]] ...,...,N-1</math> denote the N point Discrete Fourier Transform (DFT) of the signal x[n],n=0,...,N-1.
    2 KB (439 words) - 10:41, 11 November 2011
  • Presentation Use of MATLAB in classroom
    ===Use of MATLAB in [[ECE438]]: Digital Signal Processing with Applications ===
    2 KB (286 words) - 05:45, 29 December 2010
  • ECE438 Week8 Quiz
    [[Category:digital signal processing]] ...1</math>, which satisfies the following relationship for any discrete-time signal <math>x[n]</math>,
    3 KB (462 words) - 10:42, 11 November 2011
  • Discrete Fourier Transform
    ...d N. Then the Discrete Fourier Transform X[k] of x[n] is the discrete-time signal defined by *[[My_use_for_the_DFT!|Digital Signal Processing Project by A. Kumar using DFT]]
    1 KB (219 words) - 13:25, 2 December 2011
  • Midterm1 statistics ECE438F10
    [[2010_Fall_ECE_438_Boutin|Digital Signal Processing (ECE438) Fall 2010, Prof. Boutin]]
    766 B (105 words) - 05:01, 15 October 2010
  • Practice question 1 eECE439F10
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' (On Computing the DFT of a discrete-time periodic signal.)
    5 KB (766 words) - 14:22, 21 April 2013
  • Practice Question 2 ECE439F10
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' ...><span style="color:purple"> Compute the z-transform of the discrete-time signal
    3 KB (569 words) - 12:48, 26 November 2013
  • Practice Question 3 ECE439F10
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    2 KB (273 words) - 12:49, 26 November 2013
  • ECE438 Week9 Quiz
    [[Category:digital signal processing]] ...erference. What must be the value of <math>\theta</math> to eliminate this signal?
    3 KB (480 words) - 10:42, 11 November 2011
  • Practice Question 4 ECE438F10
    [[Category:signal processing]] ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    7 KB (1,273 words) - 12:42, 26 November 2013
  • DTFT rectangular window
    *[[ECE438|Digital Signal Processing with Applications]]
    382 B (52 words) - 12:59, 22 October 2010
  • Practice Question 5 ECE438F10
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    2 KB (322 words) - 13:00, 26 November 2013
  • ECE438 Week10 Quiz
    [[Category:digital signal processing]] Q2. The condition for the discrete-time signal <math>x[n]</math> to be real is
    3 KB (479 words) - 10:42, 11 November 2011
  • Lecture28ECE438F10
    ...discussed methods for determining whether a given 5-10 ms block of a sound signal corresponds to an unvoiced or voiced phoneme. *[[Digital_Speech_Generation|A student page on digital speech generation]]
    2 KB (235 words) - 12:33, 29 October 2010
  • ECE438 Week11 Quiz
    [[Category:digital signal processing]]
    3 KB (462 words) - 10:42, 11 November 2011
  • ECE
    *[[ECE438|ECE 438]]: "Digital Signal Processing with Applications"
    3 KB (380 words) - 18:29, 9 January 2015
  • ECE438 Week12 Quiz
    [[Category:digital signal processing]] Q2. Consider the discrete-time signal
    3 KB (561 words) - 10:43, 11 November 2011
  • Practice prove modulation property z transform
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    2 KB (327 words) - 19:05, 3 March 2015
  • ECE438 Week13 Quiz
    [[Category:digital signal processing]] Q2. Consider the discrete-time signal
    3 KB (398 words) - 10:43, 11 November 2011
  • ECE438 Week14 Quiz
    [[Category:digital signal processing]]
    3 KB (515 words) - 10:43, 11 November 2011
  • Connection Time-out Bounty Awarded to Mike Wolfer
    ...gree in BSEE. I hope to find a position where I can use the digital signal processing skills I've learned.
    3 KB (437 words) - 05:47, 25 February 2011
  • ECE438 Lab Spring 2011
    =Lab Wiki - [[ECE438|ECE 438: Digital Signal Processing With Applications]], Spring 2011=
    2 KB (352 words) - 07:06, 31 January 2011
  • ECE301inBME
    ...(t). &nbsp;The physiological system being modeled, h(t), will convert this signal into output, y(t). &nbsp;For example, the blood clotting mechanism can be i *'''Image and Image Processing''' – X-ray, ultrasound, MRI (magnetic resonance imaging), and CT (compute
    17 KB (2,368 words) - 10:53, 6 May 2012
  • Compute z-transform u n ECE301S11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the z-transform of the following signal.
    3 KB (431 words) - 09:09, 4 March 2015
  • Compute z-transform u -n ECE301S11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the z-transform of the following signal.
    1 KB (218 words) - 12:50, 26 November 2013
  • Compute Inverse z-transform ECE301S11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the inverse z-transform of the following signal.
    2 KB (309 words) - 12:51, 26 November 2013
  • Compute Inverse z-transform 2 ECE301S11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the inverse z-transform of the following signal.
    3 KB (473 words) - 12:51, 26 November 2013
  • 2011 Fall MA 265 Walther
    *Hello all! The students in [[ECE438|ECE438: "Digital Signal Processing"]] (DSP) will be talking to you this semester. We hope you do not mind this
    7 KB (1,026 words) - 15:11, 16 December 2011
  • 2011 Fall ECE 438 Boutin
    [[Category:signal processing]] = [[ECE438|ECE 438]]: Digital Signal Processing with Applications =
    10 KB (1,359 words) - 03:50, 31 August 2013
  • ECE438 Lab Fall 2011
    =Lab Wiki - [[ECE438|ECE 438: Digital Signal Processing With Applications]], Fall 2011=
    3 KB (456 words) - 10:20, 12 October 2011
  • ECE438 Lab Quizpool
    [[Category:digital signal processing]] =Lab Wiki - [[ECE438|ECE 438: Digital Signal Processing With Applications]], Quiz Question Pool=
    900 B (121 words) - 10:39, 11 November 2011
  • 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
  • Lecture1ECE438F11
    ...df|syllabus]]. We then talked about the reason why we need "Digital Signal Processing". In particular, we discussed the two following applications:
    2 KB (231 words) - 12:48, 21 September 2011
  • Practice summation n delta of n ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    6 KB (928 words) - 09:25, 11 November 2013
  • Practice summation shifted geometric ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    3 KB (515 words) - 09:23, 11 November 2013
  • Practice summation finite inpulse train
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    4 KB (621 words) - 09:24, 11 November 2013
  • Practice CTFT computation rect and sinc ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' ...yle="color:red">TA's comments: You can use the duality for continuous time signal directly. </span>
    7 KB (1,302 words) - 09:45, 11 November 2013
  • Practice DTFT computation cosine ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the discrete-time Fourier transform of the following signal:
    6 KB (1,000 words) - 12:33, 26 November 2013
  • Practice DTFT computation rect ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the discrete-time Fourier transform of the following signal:
    6 KB (1,090 words) - 12:35, 26 November 2013
  • Practice sampling pure frequencies A ECE438F1
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' The signal we want is <math>x(t) = cos(440 * 2\pi)</math>.
    5 KB (796 words) - 12:38, 26 November 2013
  • Practice CTFT from omega to f step function
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    7 KB (1,143 words) - 09:44, 11 November 2013
  • Practice CTFT complex exponential ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    3 KB (610 words) - 09:47, 11 November 2013
  • Problem Generalized Geometric Series Formula ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    3 KB (480 words) - 09:35, 11 November 2013
  • Norm of a complex exponential ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    2 KB (367 words) - 14:24, 21 April 2013
  • LRVC 477ProjectSpecs
    ...elves are relatively low cost and readily available. Optionally, auxiliary processing can be accomplished using a “motherboard”. Examples of these directly s ...d games to “useful and socially redeeming” household items, like audio signal processors and security systems.
    4 KB (554 words) - 10:36, 9 September 2011
  • Practice compute z transform windowed function
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the compute the z-transform (including the ROC) of the following DT signal:
    3 KB (534 words) - 12:46, 26 November 2013
  • Practice prove z transform scaling property ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    2 KB (344 words) - 12:45, 26 November 2013
  • Compute DFT practice no1 ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the discrete Fourier transform of the discrete-time signal
    4 KB (735 words) - 14:19, 21 April 2013
  • Compute DFT practice no2 ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' (This problem clarifies how zero-padding a signal changes its DFT.)
    3 KB (513 words) - 14:20, 21 April 2013
  • Practice problem finding band limited signals ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' ...equencies of the Fourier transform? Another way to obtain new band-limited signal is to combine band-limited signals into a well chosen function. For example
    2 KB (326 words) - 12:38, 26 November 2013
  • MathWorksTest
    = <br/>[[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
    9 KB (1,273 words) - 20:52, 15 October 2011
  • Exercise effect of zero padding on DFT ECE438F11
    [[Category:digital signal processing]] ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    4 KB (759 words) - 14:18, 21 April 2013
  • Hw7 ECE438F11
    [[Category:digital signal processing]]
    3 KB (473 words) - 12:35, 1 December 2011
  • Homework 7, ECE438, Fall 2011, Yimin Xiao's solution
    [[Category:digital signal processing]] ::#zeropad the signal
    7 KB (1,108 words) - 06:02, 23 September 2014
  • Obtain CSFT complex exponential
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    3 KB (576 words) - 12:57, 26 November 2013
  • Compute CSFT of 2D rect function ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    3 KB (487 words) - 12:57, 26 November 2013
  • Compute CSFT of 2D sinc function ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    4 KB (678 words) - 12:58, 26 November 2013
  • Obtain DSFT rectangle
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the discrete-space Fourier transform of the following signal:
    2 KB (355 words) - 12:58, 26 November 2013
  • Compute DSFT product two step functions ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the discrete-space Fourier transform of the following signal:
    3 KB (473 words) - 12:59, 26 November 2013
  • Compute DSFT cosine ECE438F11
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the discrete-space Fourier transform of the following signal:
    4 KB (703 words) - 12:59, 26 November 2013
  • Digital signal processing practice problems list
    [[Category:Digital Signal Processing]] ...projectrhea.org/learning/practice.php Practice Problems] on Digital Signal Processing
    6 KB (801 words) - 22:04, 19 April 2015
  • Lecture35ECE438F11
    ...ed to demonstrate 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
    [[Category:image processing]] [[Category:digital signal processing]]
    1 KB (157 words) - 06:33, 11 September 2013
  • ECE538
    = [[ECE]] 538: Digital Signal Processing I = *[[SignalMetricsFormula|Signal Metrics Definitions and Formulas]]
    1 KB (152 words) - 12:17, 24 February 2015
  • 2012 Spring MA 265 Walther
    *Hello all! The students in [[ECE438|ECE438: "Digital Signal Processing"]] (DSP) will be talking to you this semester. We hope you do not mind this
    7 KB (1,081 words) - 05:28, 2 May 2012
  • Professional Statement - Artyom Melanich BSEE
    electronics, signal processing, and telecommunications. Currently as a fourth year student at signal amplifiers, and switching circuits. I also have experience in digital system design and
    3 KB (538 words) - 12:16, 9 February 2012
  • Professional statement alecturner ECE400Sp12
    ...ming using internet sockets, multimedia streaming technologies, and signal processing. I am interested in synthesizing an adaptive streaming process to increase ...ed system descriptions and requirements for the HVAC system and designed a digital interface for an HVAC portable test unit using LabVIEW. I proceeded to conf
    4 KB (616 words) - 20:32, 1 February 2012
  • Professional Statement BrianKelley ECE400S12
    ...d how to add two numbers in hardware, I’ve been fascinated and hooked on digital design. I have found my true passion. ...o far. I find it extremely interesting and useful. I learned more advanced digital design techniques such as caching and pipelining. The goal of the semester
    5 KB (786 words) - 12:21, 9 February 2012
  • Michael Evans - Professional Statement
    ...icular activity (EVA) spacesuit, which is responsible for tone generation, signal mixing, encoding and decoding of audio signals, and real-time filter implem
    4 KB (676 words) - 12:21, 9 February 2012
  • 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?'''
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  • Collective problem solving why and how to
    ...nal_processing_practice_problems_list|Practice problems on "Digital Signal Processing"]]
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  • 2012 Fall ECE 438 Ersoy
    = [[ECE438]]:"Digital Signal Processing with Applications" - Fall 2012 = ...% 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
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  • 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].
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  • 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
    ...ince both the SCCB master and slave should be open drain, if the SCCB data signal is measured on the master side of the resistor, the resistor aids in oscill ...he uC to randomly access pixels from the LCD, which is necessary for image processing algorithms that perform local operations. This is much appreciated, as the
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  • DYL RADIXFLOAT
    ...r-bound for comparison sorts are still set at O(nlogn). But I wonder - all digital objects are represented as 0/1 in memory. Can I use radix sort to sort obje [1] Smith, Steven W. The Scientist and Engineer's Guide to Digital Signal Processing. &lt;http://www.dspguide.com/ch4/3.htm&gt;
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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 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 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
  • Test page math squad
    * C. A. Bouman. ECE 637. "Class Lecture. Digital Image Processing I". Faculty of Electrical Engineering, Purdue University, Spring 2013. * J. Allebach. ECE 438. "Digital Signal Processing". Legacy Lecture Notes. Faculty of Electrical Engineering, Purdue Universit
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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]]'''
    6 KB (942 words) - 07:25, 26 February 2014
  • 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]] ::↳ Eigen-Signal Analysis and Examples
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  • 2013 Fall ECE 438 Boutin
    [[Category:signal processing]] [[Category:digital signal processing]]
    8 KB (1,096 words) - 06:44, 14 December 2013
  • Lecture Schedule ECE438Fall13 Boutin
    [[Category:digital signal processing]] [[Category:signal processing]]
    9 KB (1,353 words) - 09:04, 11 November 2013
  • ECE 438: Digital Signal Processing With Applications, Fall 2013
    =Lab Wiki: [[2013_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2013=
    2 KB (341 words) - 15:54, 14 August 2013
  • ECE438 Lab Fall 2013
    =Lab Wiki: [[2013_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2013=
    2 KB (351 words) - 17:43, 16 August 2013
  • Lecture1ECE438F13
    [[Category:signal processing]] ...uple of minutes left to talk about some fun applications of digital signal processing. The following three applications were mentioned:
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  • Practice DTFT computation rect ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the discrete-time Fourier transform of the following signal:
    4 KB (673 words) - 12:36, 26 November 2013
  • Practice DTFT computation sine ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the discrete-time Fourier transform of the following signal:
    5 KB (740 words) - 12:36, 26 November 2013
  • Practice z transform computation 1 ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the compute the z-transform (including the ROC) of the following DT signal:
    5 KB (873 words) - 12:52, 26 November 2013
  • Practice z transform computation 2 ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the compute the z-transform (including the ROC) of the following DT signal:
    8 KB (1,313 words) - 15:19, 1 May 2016
  • Practice Question inverse z transform 1 ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    8 KB (1,353 words) - 12:54, 26 November 2013
  • Practice Question inverse z transform 2 ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    6 KB (1,011 words) - 12:54, 26 November 2013
  • Practice Question inverse z transform 3 ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    3 KB (463 words) - 12:54, 26 November 2013
  • Practice Question inverse z transform 4 ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
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  • Practice Question inverse z transform 5 ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    8 KB (1,294 words) - 12:55, 26 November 2013
  • Practice z transform computation 3 ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the z-transform (including the ROC) of the following DT signal:
    7 KB (1,100 words) - 12:53, 26 November 2013
  • Practice Question inverse z transform 6 ECE438F13
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Therefore the inverse Z Transform of the signal will be given by:
    5 KB (792 words) - 12:55, 26 November 2013
  • ECE438 digital signal processing past exams
    [[Category:digital signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
    2 KB (319 words) - 10:50, 27 September 2013
  • ECE438 digital signal processing lecture notes
    [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
    2 KB (189 words) - 08:26, 11 November 2013
  • Lecture26ECE438F13
    [[Category:signal processing]] [[Category:speech processing]]
    2 KB (284 words) - 07:00, 25 October 2013
  • HW9ECE438F13
    [[Category:signal processing]] You are given a digital recording of that phoneme. The sampling rate for the recording is 5kHz.
    2 KB (353 words) - 21:19, 31 October 2013
  • Lecture27ECE438F13
    [[Category:signal processing]] [[Category:speech processing]]
    2 KB (305 words) - 07:05, 25 October 2013
  • Lecture28ECE438F13
    [[Category:signal processing]] [[Category:speech processing]]
    2 KB (293 words) - 07:08, 25 October 2013
  • ECE438 digital signal processing course wikis
    [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
    1 KB (134 words) - 09:12, 19 August 2019
  • ECE438 digital signal processing textbooks
    [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
    6 KB (759 words) - 08:10, 11 November 2013
  • ECE438 digital signal processing formulas
    [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
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  • 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
  • Lecture1ECE438F14
    [[Category:signal processing]] ...digital signal, and to talk about some fun applications of digital signal processing. The following application was mentioned briefly
    3 KB (374 words) - 05:32, 25 August 2014
  • 2014 Fall ECE 438 Boutin
    = [[ECE438|ECE 438]]: Digital Signal Processing with Applications = ...examples, including some signal whose FT nvolves Dirac delta(s). For that signal whose FT involves Dirac delta(s), compute the FT two different ways: 1) by
    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
  • Slecture rep comb ECE438 Xiaozhe
    [[Category:signal processing]] ...led'. But this process is a little different from sampling. The continuous signal will become discrete after sampling while it will still be continuous after
    5 KB (768 words) - 18:51, 16 March 2015
  • Slecture Fourier transform w f ECE438
    [[Category:signal processing]] [1].Mireille Boutin, "ECE438 Digital Signal Processing with Applications," Purdue University August 26,2009
    4 KB (613 words) - 18:51, 16 March 2015
  • Fourier Transform as a FUnction of Frequency w versus Frequency f (in Hertz)
    [[Category:signal processing]] [1].Mireille Boutin, "ECE438 Digital Signal Processing with Applications," Purdue University August 26,2009
    3 KB (512 words) - 09:50, 14 March 2015
  • Discrete-time Fourier transform Xian Zhang ECE438 slecture
    [[Category:signal processing]] [1]. Mireille Boutin, "ECE438 Digital Signal Processing with Applications," Purdue University August 26, 2009
    3 KB (515 words) - 20:02, 16 March 2015
  • DTFT of a sampled cosine Yijun ECE438 slecture
    [[Category:signal processing]] Consider a CT cosine signal (a pure frequency), and sample that signal with a rate above or below Nyquist rate. In this
    4 KB (598 words) - 20:05, 16 March 2015
  • Discrete-time Fourier transform Zian Zhang ECE438 slecture
    [[Category:signal processing]] [1]. Mireille Boutin, "ECE438 Digital Signal Processing with Applications," Purdue University August 26, 2009
    3 KB (535 words) - 19:30, 29 September 2014
  • Discrete-time Fourier transform Slecture by Fabian Faes
    [[Category:signal processing]] The discrete time fourier transform (DTFT) of a finite energy aperiodic signal x[n] can be given by the equation listed below. IT is a representation in t
    5 KB (862 words) - 20:02, 16 March 2015
  • Text Slecture
    <font size="2">The DTFT of a sampled signal is periodic with <span class="texhtml">2π</span>.</font> ...sed signal has a decreased magnitude compared to the original. The aliased signal also is at a different frequency.
    6 KB (904 words) - 20:04, 16 March 2015
  • Nyquist Miguel Castellanos ECE438 slecture
    [[Category:signal processing]] ...st theorem provides a sufficient condition for perfect reconstruction of a signal from its sampling. In this slecture
    6 KB (1,008 words) - 19:04, 16 March 2015
  • Slecture Topic 7 ECE438
    [[Category:signal processing]] ...cy domain view of the relationship between a signal and a sampling of that signal
    5 KB (852 words) - 09:58, 14 March 2015
  • Slecture Topic 7 Ryan
    ...tionship between an original signal, x(t), and a sampling of that original signal, x_s(t). We will also take a look at how this relationship translates to th ...to the signal multiplied by an impulse train which is equal to the sampled signal. Essentially, the comb is grabbing points on the graph x(t) at a set interv
    2 KB (335 words) - 09:57, 14 March 2015
  • Text slecture1
    ...mpling a signal. In other words, when a digital signal is downsampled, the signal's sampling<br>rate would be reduced. =====
    1 KB (179 words) - 06:07, 13 October 2014
  • Upsampling Slecture Molveraz
    [[Category:signal processing]] ...the input samples of the signal. This causes the spectrum of the original signal to repeat at multiples of the original sampling rate.
    5 KB (790 words) - 10:01, 14 March 2015
  • Text Slecture1
    ...mpling a signal. In other words, when a digital signal is downsampled, the signal's sampling<br>rate would be reduced. =====
    1 KB (192 words) - 10:00, 14 March 2015
  • BluetoothAudioSignal
    Bluetooth Speaker Audio Processing ...s and how transmitting device compatibility can result in an altered audio signal and therefore sound quality.
    1 KB (191 words) - 12:19, 9 December 2014
  • HonorsContractECE438Fall14
    [[Category:signal processing]] [[Category:image processing]]
    2 KB (259 words) - 19:30, 9 February 2015
  • Lecture32ECE438F14
    [[Category:signal processing]] ...fference equation with constant coefficients. We ten started talking about digital speech and audio signals.
    2 KB (225 words) - 07:32, 10 November 2014
  • Lecture38ECE438F14
    [[Category:signal processing]] ...ed to demonstrate 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
  • Embedded Fixed Point FFT
    [[Category:signal processing]] ...l layers of complexity, stemming from quantization issues of the analog to digital converters, memory limitations, and perhaps most importantly- fixed point a
    9 KB (1,362 words) - 18:06, 23 February 2015
  • ECE438HonorsContractMRI
    ...tom if the RF signal is at the center frequency of procession. Once the RF signal is removed, the atom will radiate RF energy until the energy is lost. The s ...to a carrier wave. This modulation causes the frequency response of the RF signal to be a shifted rect. The shift is determined by the carrier wave, and the
    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
  • 2015 Spring ECE 438 Ersoy
    = [[ECE438|ECE 438]]: Digital Signal Processing with Applications =
    629 B (82 words) - 11:22, 13 March 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
  • 2014 Fall ECE 438 Boutin digital signal processing slectures
    '''The [http://mireilleboutin.com Boutin] Lectures on Digital Signal Processing - Part 1''' ...cy domain view of the relationship between a signal and a sampling of that signal. ==
    3 KB (409 words) - 15:48, 24 March 2015
  • ECE438 digital signal processing slectures
    [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
    3 KB (389 words) - 19:26, 16 March 2015
  • Practice Question inverse z transform example S15
    ...nal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
    3 KB (520 words) - 22:14, 19 April 2015
  • 2015 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
    6 KB (845 words) - 15:37, 4 November 2016
  • Lecture2ECE438F15
    [[Category:signal processing]] ...nals and digital systems. We looked at some applications of digital signal processing, including
    3 KB (445 words) - 08:57, 28 August 2015
  • HW4ECE38F15
    ...be accomplished in an equivalent fashion by processing a sampling of that signal. ...t off frequency of 800Hz and a gain of 7. Let's call this desired filtered signal y(t).
    3 KB (499 words) - 16:04, 22 September 2015
  • FFT- BFSK case study ECE438F15
    <center><font size= 4>Digital Signal Processing With Application</font size> ...value) of two different transmitted frequencies component in the received signal.
    4 KB (546 words) - 19:34, 29 November 2015
  • 2015 Fall ECE 438 Boutin Digital Signal Processing With Application comments
    ...l_ECE_438_Boutin_Digital Signal Processing With Application|Digital Signal Processing With Application]] ...l_ECE_438_Boutin_Digital Signal Processing With Application|Digital Signal Processing With Application]]. Please leave me a comment below if you have any questio
    914 B (125 words) - 03:39, 29 November 2015
  • 2015 Fall ECE 438 Boutin Digital Signal Processing With Application
    <center><font size= 4>Digital Signal Processing With Application</font size> ...value) of two different transmitted frequencies component in the received signal.
    3 KB (417 words) - 04:38, 29 November 2015
  • 2015 Fall ECE 438 Boutin Implementation of Quantization Yitong Wang
    Quantization is an operation to compress a signal by reducing a range of values to a single value. Color quantization is a pr Color Quantization is commonly used in image processing. We studied Uniform Quantizer and Max Quantizer in lab 5. But this quantiza
    4 KB (626 words) - 21:58, 29 November 2015
  • 2015 Fall ECE 438 Boutin A visual explanation of aliasing and repetition with the DTFT Erik Swan
    ...''aliasing'' that occurs when converting a continuous signal to a discrete signal via sampling. ...rmation applied to an aperiodic, discrete signal in order to represent the signal in terms of it's various spectral (frequency) components. It is defined as:
    12 KB (2,004 words) - 20:37, 2 December 2015
  • Implementation of Color Quantization
    Quantization is an operation to compress a signal by reducing a range of values to a single value. Color quantization is a pr Color Quantization is commonly used in image processing. We studied Uniform Quantizer and Max Quantizer in lab 5. But this quantiza
    4 KB (630 words) - 22:24, 29 November 2015
  • Adding sound effects to your music
    ...u will learn the fundamental ideas of each sound effect and use the signal processing technique in Matlab to create these sound effects to your music. ...as a delay of music signal. It is produced by repeating the original music signal after a fixed amount of time period [1]. This effect is extremely applied i
    3 KB (405 words) - 23:49, 29 November 2015
  • Using filters to enhance the view of images
    ...- Digital Signal Processing with Applications1ECE438 - Laboratory 10:Image Processing," Purdue University October 6, 2010.
    2 KB (316 words) - 00:15, 30 November 2015
  • Using Matlab to enhance images
    ...- Digital Signal Processing with Applications1ECE438 - Laboratory 10:Image Processing," Purdue University October 6, 2010.
    2 KB (316 words) - 00:25, 30 November 2015
  • 2016 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
    4 KB (622 words) - 09:42, 8 January 2017
  • 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
  • Audio Compression
    ...o be able to play “realistic astromech droid sounds” [2], with limited processing power as well as limited storage capacity. In our case, the goal was to cre [[File:AudioCompression 438Fall2016 FFT.png|560px|framed|center|FFT of input signal, N=512. The line represents the threshold frequency.]]
    8 KB (1,282 words) - 01:02, 28 November 2016
  • 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
  • 2017 Spring ECE 438 Boutin
    = [[ECE438|ECE 438]]: Digital Signal Processing with Applications = *Racism in Signal Processing and Machine learning: [http://www.theatlantic.com/technology/archive/2016/0
    3 KB (448 words) - 23:55, 23 April 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= ...eful application would be automatic classification of phonemes in a speech signal by finding clusters of formant values for different speakers.
    6 KB (903 words) - 00:02, 24 April 2017
  • DSP for Audio and Guitar Effects
    A report on how to use digital signal processing for the sake of creating audio effects.
    423 B (54 words) - 16:01, 20 April 2017
  • BRITA Filter
    ...nt conceivable can be translated into a AU, VST, etc. plugin to be used in digital audio workstations. As transistor cost decreased and density increased, gro An interest in digital audio production methods guided the decision to create a tool that would em
    6 KB (1,048 words) - 16:58, 24 April 2017
  • ECE438 Lab Fall 2017
    =Lab Wiki: [[2017_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2017= *Week 9: [[Media:lab7aECE438F15.pdf| Lab 7a - Digital Filter Design]]
    3 KB (418 words) - 21:57, 7 January 2018
  • Digital Filters: An Overview on Design Points and Considerations
    == ''' Digital Filters: An Introduction ''' == ...han analog ones. This slecture hopes to share characteristics important to digital filter use and design in addition to how concepts learned in ECE 438 apply
    6 KB (897 words) - 16:44, 7 December 2017
  • 2018 Spring ECE 438 Allebach
    = [[ECE438|ECE 438]]: Digital Signal Processing with Applications =
    1 KB (176 words) - 15:37, 20 March 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
  • 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= *Week 9: [[Media:lab7aECE438F15.pdf| Lab 7a - Digital Filter Design]] - [[Media:lab7agradingrubric.pdf|Lab7a cover sheet with gra
    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
  • Ece438f19bhelfrechtbonus
    ...ignal directly, this is not possible in reality since storing a real-world signal would require an infinite amount of memory. Consequently, all signals are s With this information, we can express the sampling of a CT signal <math>x(t)</math> in terms of its sampling period T:
    16 KB (2,611 words) - 14:11, 12 November 2019
  • Ece438f19glakebonus
    ...ers. This topic assumes some basic knowledge of the z-transform and signal processing, however some definitions are provided below as a refresher or for referenc ...the z-transform exists outside the unit circle, it is useful for analyzing signal that don't have a DTFT, analyzing LTI system stability, and looking at the
    6 KB (1,040 words) - 00:57, 2 December 2019
  • Ece438f19achakrabortybonus
    ...om a signal. It has several applications in image processing. In the image processing lab (Week 13: Lab 10a), a median filter with a filter size of 3x3 was appli 2) Peak Signal to Noise Ratio of the filtered image and the original image<br />
    6 KB (1,000 words) - 23:15, 30 November 2019
  • 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 ...ractical cases, one can use Nyquist's Theorem to ensure that all essential signal information is collected, while not wasting effort measuring with too much
    2 KB (375 words) - 21:03, 6 December 2020

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