Since I haven't had much to write about recently, I'm going to write a little bit about my classes. This is going to be a series of posts, one for each class.

This first one is about my class "Introduction to Signal Processing" with Dennis Healy.

This class is actually mostly about stuff I have already learned in previous classes, such as linear algebra. Another problem is that the first 15 minutes of each lecture simply repeats the last 15 minutes of the previous lecture. Finally, even during the middle of the lectures he tends to repeat things over, and over, and over again. A couple weeks ago we learned about the Nyquist sampling theorem, which states that a continuous periodic function can be completely characterized by a set of "samples" taken from the function at discrete points in time depending on the highest frequency in the period. The same thing applies to Healy's lectures: one could "sample" the lecture by only paying attention for a brief period every 5-10 minutes and writing what is on the slide, and one would not lose any information.

(Fortunately, my other classes are a lot more fun and exicintg, and I'll tell you about them in upcoming posts.)

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## 1 comment:

Alex, I thought it was hysterical when you said that Healy's lectures could be adequately replicated by "Nyquist Sampling."

I just hope your professor doesn't read your blog.

But since the first 15 minutes of the period is equivalent to the las fiftenn minutes of the previous period, wouldn't it be better if the sampling was done off a truncated distribution?

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