Lecture 16 Blog, ECE438 Fall 2010, Prof. Boutin

Wednesday September 30, 2010.


In Lecture #16, we obtained a "practical" formula for reconstructing the DTFT of a finite duration signal from the DFT of its periodic repetition. The formula was observed to hold whenever the periodic repetition has a period that is at least as long as the signal duration. We finished the lecture by introducing a matrix equation to represent the transformation from a finite duration signal to the DFT.

We also emphasized the need to be able to compute Fourier series, as computing DFTs is essentially the same as computing Fourier series coefficients.

Relevant Links:

Previous: Lecture 15; Next: Lecture 17


Back to 2010 Fall ECE 438 Boutin

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman