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We continued our discussion of the FFT by presenting the "Radix-two" algorithm for computing the DFT of a discrete-time signal with finite duration <math>2^M</math>. (Although technically, the DFT is used to transform periodic signals only, so to be correct, one should write "the DFT of the periodic repetition with period N of a signal with finite duration N"). If you found my diagrams hard to read on the board, I highly recommend reading [http://cobweb.ecn.purdue.edu/~ipollak/ee438/FALL03/notes/Section1.4_10_8.pdf Prof. Pollak's notes on the FFT]. | We continued our discussion of the FFT by presenting the "Radix-two" algorithm for computing the DFT of a discrete-time signal with finite duration <math>2^M</math>. (Although technically, the DFT is used to transform periodic signals only, so to be correct, one should write "the DFT of the periodic repetition with period N of a signal with finite duration N"). If you found my diagrams hard to read on the board, I highly recommend reading [http://cobweb.ecn.purdue.edu/~ipollak/ee438/FALL03/notes/Section1.4_10_8.pdf Prof. Pollak's notes on the FFT]. | ||
+ | We finished the lecture by beginning to discuss DT systems (definition and basic properties). Our emphasis this semester will be on "filtering". | ||
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Latest revision as of 15:16, 8 October 2010
Lecture 19 Blog, ECE438 Fall 2010, Prof. Boutin
Wednesday October 6, 2010.
We continued our discussion of the FFT by presenting the "Radix-two" algorithm for computing the DFT of a discrete-time signal with finite duration $ 2^M $. (Although technically, the DFT is used to transform periodic signals only, so to be correct, one should write "the DFT of the periodic repetition with period N of a signal with finite duration N"). If you found my diagrams hard to read on the board, I highly recommend reading Prof. Pollak's notes on the FFT.
We finished the lecture by beginning to discuss DT systems (definition and basic properties). Our emphasis this semester will be on "filtering".
Previous: Lecture 18; Next: Lecture 20