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*Complex Numbers  
 
*Complex Numbers  
**[http://dynamo.ecn.purdue.edu/~ipollak/ee438/FALL01/complex.pdf Review of complex numbers from Prof. Pollak's supplementary notes]  
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**[https://engineering.purdue.edu/~ipollak/ee438/FALL01/complex.pdf Review of complex numbers from Prof. Pollak's supplementary notes]  
**Prof. Allebach's lecture notes on [http://dynamo.ecn.purdue.edu/~bouman/ece438/lecture/module_1/1.1_signals/1.1.5_complex_variables.pdf complex variables]
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**Prof. Allebach's lecture notes on [https://engineering.purdue.edu/~ece438/lecture_notes/legacy_notes/module_1/1.1_signals/1.1.5_complex_variables.pdf complex variables]
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*Basic Signals and Signal Properties  
 
*Basic Signals and Signal Properties  
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*Fourier Series  
 
*Fourier Series  
 
**PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409,  
 
**PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409,  
**[http://dynamo.ecn.purdue.edu/~ipollak/ee438/FALL01/Fourier_notes1.pdf Prof. Pollak's supplementary notes on Fourier series]
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**[https://engineering.purdue.edu/~ipollak/ee438/FALL00/Fourier_notes1.pdf Prof. Pollak's supplementary notes on Fourier series]
 
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== Part I (week 1-7): Spectral Analysis of 1D signals  ==
 
== Part I (week 1-7): Spectral Analysis of 1D signals  ==

Latest revision as of 17:52, 20 August 2019


ECE438 Course Outline (Fall 2019, Prof. Boutin)

Please do not edit this page. If you want to modify it, please copy the code in a new page and make your modifications there.


Click here to go to the course wiki.

Note: PM refers to the official course book: "Digital Signal Processing," 3rd edition, J.G. Proakis and D.G. Manolakis. Prentice Hall, 1996.

Pre-requisite Material (Will not be covered explicitly.)



Part I (week 1-7): Spectral Analysis of 1D signals

  • Week 1-2: CT and DT Fourier Transforms
    • References
      • PM pp. 253-259, 264-314.
      • Prof. Allebach's lecture notes on Fourier analysis
      • Prof. Pollak's notes on frequency analysis
      • Slectures on Fourier transform as a function of frequency ω versus Fourier transform as a function of frequency f (in hertz).
      • Slectures on definition of the "rep" and "comb" operators.
      • Slectures on Fourier transform of "rep" and "comb".
    • Labs
      • Lab 1 - on discrete and continuous-time signals
      • Lab 2 - on discrete-time systems


  • Week 3-4-5: Sampling, Reconstruction, and Sampling Rate Conversion
    • References
    • Labs
      • Lab 3 - on frequency analysis
      • Lab 4a) -on sampling and reconstruction
      • Lab 4b) - on interpolation and decimation + early student feedback to TAs

Part 2 (week 9-14): DT Systems and Applications





  • Week 15: Review
    • Lab
      • Review

Return to ECE438 Spring 2019 Prof. Boutin page

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