| Line 24: | Line 24: | ||
[[2011_Fall_ECE_438_Boutin|Back to ECE438 Fall 2011]] | [[2011_Fall_ECE_438_Boutin|Back to ECE438 Fall 2011]] | ||
| − | [[Category: | + | [[Category:ECE438Fall2011Boutin]] |
| + | [[Category:ECE438]] | ||
| + | [[Category:signal processing]] | ||
| + | [[Category:ECE]] | ||
| + | [[Category:Blog]] | ||
| + | [[Category:sampling]] | ||
Latest revision as of 05:23, 11 September 2013
Lecture 13 Blog, ECE438 Fall 2011, Prof. Boutin
Wednesday September 21, 2011 (Week 5) - See Course Outline.
In Lecture 13, we discussed the possibility of an extra credit project involving signal resampling and filtering.
After this slight diversion, we continued discussing the sampling
$ x_1[n]=x(T_1 n) $
of a continuous-time signal x(t). We obtained and discussed the relationship between the DT Fourier transform of $ x_1[n] $ and that of a downsampling $ y[n]=x_1[Dn] $, for some integer D>1. We then obtained the relationship between the DT Fourier transform of $ x_1[n] $ and that of an upsampling of x[n] by a factor D. In the next lecture, we will use this relationship to figure out how to transform this signal into the (higher resolution) signal
$ x_2[n]=x\left( n \frac{T_1}{D} \right) $.
Side notes:
- I think this may be a good time to pass some advice to current/future ECE301 students on the peer legacy page.
- Here is a Rhea page on sampling contributed by a student.
- HW3 is now posted. It is due next Wednesday.
Previous: Lecture 12 Next: Lecture 14
