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: Trey Shenk
  • Email: shenkt at purdue dot you know what
• Teaching Assistant: Ikbeom Jang
  • Email: jang69 at purdue dot you know what
• Course Outline (Approximate schedule with detailed reference list)
• Course Syllabus
• Important Dates:
  • Test 1: Friday October 10, 2014 Friday October 17, 2014
  • Test 2: Friday December 5, 2014
  • Final, TBA

Labs

Here

Resources

• 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, Solution
• HW2, Solution
• HW3, Solution
• HW4
• HW5, Solution
• 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 templates.

• Template for text slecture
• Template for video slecture
• Template for question page (use the same template for both video and text slectures.

• Topic 1: Fourier transform as a function of frequency ω versus Fourier transform as a function of frequency f (in hertz). (Make sure to give some 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 starting from the ECE301 FT pair and making a change of variable, and 2) using the CTFT formulas. Observe that the expressions for the FT are different. Then point out that one can transform one expression into the other using the scaling property of the Dirac delta.) DEADLINE September 19
  • Text slecture by Dauren
  • Text slecture by Randall Cochran
• Topic 2: Definition of the "rep" and "comb" operators. (Note that there are two ways to define each of these operators: using multiplication/convolution with an impulse train, or using a summation formula without impulse-train. You should include both representations and explain how to go from one to the other.) DEADLINE September 19
  • Text slecture by Xiaozhe Fan
• Topic 3: Fourier transform of "rep" and "comb". (Make sure to carefully explain how to compute the Fourier transform of an impulse-train. You do not need to prove the multiplication/convolution property of the CTFT, but state it clearly whenever you need to use it.) DEADLINE October 1
  • Video slecture by Ben
  • slecture by Youqin Liu
  • Text Slecture by Matt Miller
• Topic 4: Discrete-time Fourier transform (DTFT): definition, periodicity property, example (computation of DTFT of a complex exponential- no fudging!) DEADLINE October 1
  • Text Slecture by Jacob Holtman
  • Text Slecture by Fabian Faes
  • Text slecture by Xian Zhang
• Topic 5: Discrete-time Fourier transform (DTFT) of a sampled cosine. (Include Case 1) sampling rate above Nyquist rate, and Case 2) sampling rate below Nyquist rate.) DEADLINE October 3
  • Text Slecture by Andrew Pawling
  • Text Slecture by Sutton Hathorn
  • Text Slecture by Sahil Sanghani
  • Text slecture by Yijun Han
• Topic 6: Nyquist Theorem, with proof and example DEADLINE October 6
  • Text slecture by Michael Hayashi
  • Text slecture by Miguel Castellanos
  • Text Slecture by Robert Stein
  • Text Slecture by Erik Rozolis
• Topic 7: Frequency domain view of the relationship between a signal and a sampling of that signal. DEADLINE October 6
  • Text Slecture by Botao Chen
  • Text Slecture by Ryan Johnson
  • Text Slecture by Evan Stockrahm
  • Text Slecture by Talha Takleh Omar Takleh
• Topic 8: Frequency domain view of downsampling (explain why decimator needs a lowpass filter before the downsampling). DEADLINE October 10
  • Frequency_Downsampling by John Sterrett
  • Text slecture by Yerkebulan
  • Text Slecture by David Klouda
  • Slecture by Soonho Kwon
• Topic 9: Frequency domain view of upsampling (explain why interpolator needs a lowpass filter after upsampling). DEADLINE October 13
  • Chloe Kauffman
  • Mike Deufel
  • Michel Olvera
  • Text slectrue by Hyungsuk Kim

Slecture Review

Guidelines

• You must review one slecture per topic. (Do not review your own slecture, of course!)
• The maximum number of reviews for each slecture is ceiling(30/number of slectures on that topic). First come first serve. For example, there are two slectures on Topic 1, and so each of these slectures should get 15 reviews.
• Write your review directly on the question page of the slecture you are reviewing. Let me know if you want an anonymous login.
• You can reserve a spot for a specific slecture by writing your name on the question space.
• Be nice! Be constructive! The authors worked really hard on this.

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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