Revision as of 11:18, 21 September 2011 by Mboutin (Talk | contribs)

ECE 438: Digital Signal Processing with Applications

Professor Boutin, Fall 2011


Message area:

  • An idea to get the bonus 3%: make a video explaining how to post equations on Rhea using latex code. (Easiest is to post it on youtube and link to the youtube video from a Rhea page.)
  • If you want to be notified when a new homework is posted, become your instructor's friends on facebook.
  • An idea to get the bonus 3%: run collective problem solving pages for ECE301 or some other ECE course. If you can get some students from these courses to actively participate, you could get the full 3%!

Course Information

  • Instructor: Prof. Mimi
  • Teaching Assistant: Rui Zhao
    • Email: zhao148@purdue.edu
    • Office: MSEE 190
    • Office Hours: M 10:30am-11:30am, W 10:00am-11:00am, R 1:30pm-2:30pm
  • Teaching Assistant: Trey Shenk
    • Email: trey.shenk at gmail dot com
    • Office: MSEE 190
    • Office Hours: F 11:40am - 1:30pm
  • Schedule
  • Course Syllabus
  • Important Dates:
    • Test 1, Friday October 7, 2010.
    • Test 2, Friday December 2, 2010.
    • Final, TBA

Lab Wiki

Here.


Resources


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.


Collectively Solved Practice Problems



Homework


Your turn! A bonus point opportunity

Students in ECE438 Fall 2011 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.

Topic Number Topic Description Student Name
1 Something related to CT or DT Fourier transform Name
2 Something related to Z-transform Name
3 Something related to Signal Sampling TBD
4 Something related to discrete Fourier transform Name
5 Something related to Fast Fourier transform]] Name
6 Something related to Filtering Name
7 Something related to Speech analysis or processing Name
8 Something related to Spectral Analysis of 2D signals]] Name
9 Something related to image Processing Name
10 Something related to Quantization Name
11 Something related to Audio Signal processing, analysis, encoding, ... Name
12 Student blog Name (s)

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Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett