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==Topic 1: Fourier transform as a function of frequency <span class="texhtml">ω</span> versus Fourier transform as a function of frequency <span class="texhtml">''f''</span> (in hertz). == | ==Topic 1: Fourier transform as a function of frequency <span class="texhtml">ω</span> versus Fourier transform as a function of frequency <span class="texhtml">''f''</span> (in hertz). == | ||
| − | + | *[[Slecture Fourier transform w f ECE438|Text slecture]] by Dauren | |
| − | + | *[[Fourier Transform as a FUnction of Frequency w versus Frequency f (in Hertz)|Text slecture]] by Randall Cochran | |
| − | + | ---- | |
| − | + | ==Topic 2''': Definition of the "rep" and "comb" operators. == | |
| − | + | *[[Slecture rep comb ECE438 Xiaozhe|Text slecture]] by Xiaozhe Fan | |
| + | ---- | ||
| + | ==Topic 3''': Fourier transform of "rep" and "comb". == | ||
**[[[[capano_project_slecture_extended_fourier_transform_rep_comb_ECE438F14||Video slecture]] by Ben Capano | **[[[[capano_project_slecture_extended_fourier_transform_rep_comb_ECE438F14||Video slecture]] by Ben Capano | ||
**[[Fourier Transform rep com Youqin Liu ECE438 slecture|slecture]] by Youqin Liu | **[[Fourier Transform rep com Youqin Liu ECE438 slecture|slecture]] by Youqin Liu | ||
Revision as of 16:44, 13 March 2015
The Boutin Lectures on Digital Signal Processing-Part 1
Topic 1: Fourier transform as a function of frequency ω versus Fourier transform as a function of frequency f (in hertz).
- Text slecture by Dauren
- Text slecture by Randall Cochran
Topic 2: Definition of the "rep" and "comb" operators.
- Text slecture by Xiaozhe Fan
Topic 3: Fourier transform of "rep" and "comb".
- [[|Video slecture by Ben Capano
- 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
- Text Slecture1 by Soonho Kwon
- Topic 9: Frequency domain view of upsampling (explain why interpolator needs a lowpass filter after upsampling). DEADLINE October 13
- SlectureUpsampling by Chloe Kauffman
- Text Slecture by Mike Deufel
- Text slecture by Michel Olvera
- Text slectrue by Hyungsuk Kim
