ECE 438: Digital Signal Processing with Applications

Professor Boutin, Fall 2014

Course Information

• Instructor: Prof. Mimi
  • Office: MSEE 342
  • Office hours are listed here.
• Teaching Assistant: NAME
  • Email: login at purdue dot you know what
  • Office: MSEE 190
  • Office Hours: Wednesday 12:30 - 14:20
• Teaching Assistant: NAME
  • Email: login at purdue dot you know what
  • Office: MSEE 374
  • Office Hours: Monday 3:30 - 5:30 pm
• Schedule
• Course Syllabus
• Important Dates:
  • Test 1: Friday October 10, 2013
  • Test 2: Monday December 5, 2013
  • Final, TBA

Labs

Here

Resources

• A beginner’s guide to LaTeX (Chapter 1). By Krithika Chandrasekar.
• NEW! A beginner’s guide to LaTeX (Chapter 2). By Krithika Chandrasekar.
• Rhea's Collective Table of Formulas. Add your formulas now!
  • CTFT
  • DTFT
  • z-transform
• Cheat Sheet for Rhea Math
• zpgui3.m A MATLAB GUI showing the effect of poles and zeros during filter design.
• Graph of Magnitude of DTFT of a window function

Lecture Blog

Lecture 1, 2, 3 ,4 ,5 ,6 ,7 ,8 ,9 ,10 ,11 ,12 ,13 ,14 ,15 ,16 ,17 ,18 ,19 ,20 ,21 ,22 ,23 ,24 ,25 ,26 ,27 ,28 ,29 ,30 ,31 ,32 ,33 ,34 ,35 ,36 ,37 ,38 ,39 ,40 ,41 ,42 ,43 ,44, final exam .

Homework

• HW1 ,
• HW2,
• HW3
• HW4
• HW5,
• HW6,
• HW7,
• HW8,
• HW9,
• HW10,
• HW11,

Slectures

Post a link to your slecture page below the relevant topic. If you want to reserve a particular topic, write your name/nickname below the topic. Please no more than 4 students per topic. To build your slecture page, you should use the following template. (Coming soon.)

• Topic 1: Fourier transform as a function of frequency $ \omega $ versus Fourier transform as a function of frequency $ f $ (in hertz)
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• Topic 2: Definition of the "rep" and "comb" operators
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• Topic 3: Fourier transform of "rep" and "comb"
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• Topic 4: Discrete-time Fourier transform (DTFT): definition, periodicity property, example (computation of DTFT of a complex exponential)
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• Topic 5: Discrete-time Fourier transform (DTFT) of a sampled cosine. Case 1) sampling rate above Nyquist rate, Case 2) sampling rate below Nyquist rate
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• Topic 6: Z-transform: definition, example (computation of a z-transform using geometric series)
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• Topic 7: How to compute an inverse z-transform using power series expansion (give at least one example)
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• Topic 8: Nyquist Theorem, with proof and example
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• Topic 9 Frequency domain view of the relationship between a signal and a sampling of that signal
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• Topic 10: Frequency domain view of downsampling
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• Topic 11: Frequency domain view of upsampling
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A bonus point opportunity

Students in ECE438 Fall 2014 have the opportunity to earn up to a 3% 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 graded based on content as well as interactions with other people (page views, comments/questions on the page, etc.). The number of links to other courses and subjects will also be taken into account: the more the merrier! Please do not simply copy the lecture notes and do not plagiarize. Read Rhea's copyright policy before proceeding.

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