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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

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