Introduction to Signal Processing: Analysis of Bode Plots (Lecture 28)

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".

[@BCarli1395]

That Bode plot approach to solving ODE’s is cool.

[@godfreypigott]

Any chance you could arrange your playlist in chronological order instead of reverse chronological order, so it can be played in order?

[@shaaoux5590]

4:58 I don't think the new formula is the same as the parameters in front of y and x(t) are different, yet in the new formula the parameters are the same

[@jacobmalof]

Can you explain it again but use examples? Maybe radio waves? Transmitters, receivers. Would particular radio stations be representable by bode plots? What if you wanted your receiver to translate the signal into light instead of sound?

[@sonicsantos03]

brilliant!!!!

[@JamesHardaker]

Critically damped has no oscillations. It is fastest aperiodic