m (Added slecture link)
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*'''Topic 6''': Nyquist Theorem, with proof and example DEADLINE October 6
 
*'''Topic 6''': Nyquist Theorem, with proof and example DEADLINE October 6
 
**[[Nyquist_Michael_Hayashi_ECE438_slecture|Text slecture]] by Michael Hayashi
 
**[[Nyquist_Michael_Hayashi_ECE438_slecture|Text slecture]] by Michael Hayashi
**link to slecture page
+
**[[Nyquist_Miguel_Castellanos_ECE438_slecture|Text slecture]] by Miguel Castellanos
 
**link to slecture page
 
**link to slecture page
 
*'''Topic 7''': Frequency domain view of the relationship between a signal and a sampling of that signal. DEADLINE October 6
 
*'''Topic 7''': Frequency domain view of the relationship between a signal and a sampling of that signal. DEADLINE October 6

Revision as of 14:50, 10 September 2014


ECE 438: Digital Signal Processing with Applications

Professor Boutin, Fall 2014


Message area:

  • Slectures!!! Slectures!!! Time to pick your slecture!!!
  • HW2 is due next Monday.
  • The date of the first midterm has been changed from October 10 to October 17. -pm

Course Information

  • Instructor: Prof. Mimi
  • 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


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


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.


  • Topic 1: Fourier transform as a function of frequency $ \omega $ 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
    • Dauren
    • Randall Cochran
    • link to slecture page
  • 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
  • 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
  • Topic 4: Discrete-time Fourier transform (DTFT): definition, periodicity property, example (computation of DTFT of a complex exponential- no fudging!) DEADLINE October 1
    • Slecture by Jacob Holtman
    • link to slecture page
    • link to slecture page
  • 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
    • Slecture by Andrew Pawling
    • link to slecture page
    • link to slecture page
  • Topic 6: Nyquist Theorem, with proof and example DEADLINE October 6
  • Topic 7: Frequency domain view of the relationship between a signal and a sampling of that signal. DEADLINE October 6
    • link to slecture page
    • link to slecture page
    • link to slecture page
  • Topic 8: Frequency domain view of downsampling
    • link to slecture page
    • link to slecture page
    • link to slecture page
  • Topic 9: Frequency domain view of upsampling
    • link to slecture page
    • link to slecture page
    • link to slecture page

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.


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 discrete Fourier transform Name
4 Something related to CSFT Name
5 Something related to Quantization Name
6 Student blog Name (s)
7 Pick your own topic Name (s)

Back to ECE438

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva