(New page: = Lecture 13 Blog, ECE301 Spring 2011, Prof. Boutin = Wednesday February 9, 2011 (Week 5) - See [[Lecture Schedule ECE301Spring11 Boutin|...) |
|||
| Line 5: | Line 5: | ||
---- | ---- | ||
| − | Today | + | Today I presented a couple of examples of DT Fourier series coefficient computations. The examples I chose are very similar to the ones in the [[HW4 ECE301 Spring2011 Prof Boutin|homework]]. You should remember that there are two different methods for computing the DT Fourier series coefficients. One is very quick but only applies when you can figure out a way to directly write the function as a linear combination of exponentials. It also requires a good understanding of the properties of harmonically related exponentials. The other one is a bit more computationally intensive but, in a way, more straightforward: you don't have to think much, you just plus into the formulas and simplify. |
== Action items before the next lecture: == | == Action items before the next lecture: == | ||
Revision as of 11:49, 9 February 2011
Lecture 13 Blog, ECE301 Spring 2011, Prof. Boutin
Wednesday February 9, 2011 (Week 5) - See Course Schedule.
Today I presented a couple of examples of DT Fourier series coefficient computations. The examples I chose are very similar to the ones in the homework. You should remember that there are two different methods for computing the DT Fourier series coefficients. One is very quick but only applies when you can figure out a way to directly write the function as a linear combination of exponentials. It also requires a good understanding of the properties of harmonically related exponentials. The other one is a bit more computationally intensive but, in a way, more straightforward: you don't have to think much, you just plus into the formulas and simplify.
Action items before the next lecture:
- Read Sections 3.3, 3.7 in the book.
- Keep working on the fourth homework.
- Practice computing DT Fourier series: Two practice problems are posted already. Let me know if you need more.
Previous: Lecture 12
Next: Lecture 14
