Introduction to Signal Processing: Continuous LTI Systems (Lecture 7)

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This lecture is part of a a series on signal processing. It is intended as a first course on the subject with data and code worked in both matlab and python. The lectures are from the textbook Oppenheim, Willsky and Nawab, "Systems and Signals".
  1. Nathan Kutz
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Комментарии
Автор

There is a small typo at 18:24. The integrand should be e^(-a\tau) for 0 < \tau < t.

jfsherazi
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I have to say that, altough I hold a MSc in Physics and have gone through a bunch o mathematics courses (including Measure theory), theses signal processing classes have being a huge eye opener for me. I feel like theses insights, together with the previous classes, made me understand way better what the dirac distribution is all about. Thank you Prof. Kutz! I'm surely going to watch the next videos :). Cheers from the other hemisphere (Brazil), keep up the good work.

cafebrasileiro
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I'm sure everything is correct here, but it would be better to see this applied on some real life signal function to find out something useful. It's a lot of numbers and math in the sky for me. I'm sure I'm going to forget all of this.

Throwingness