ME565 Lecture 17: Fast Fourier Transforms (FFT) and Audio

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ME565 Lecture 17
Engineering Mathematics at the University of Washington

Fast Fourier Transforms (FFT) and Audio

Matlab code:

  1. Steve Brunton
  2. Engineering mathematics
  3. Mathematics
  4. Applied mathematics
  5. Matlab
  6. Partial differential equation
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Комментарии
Автор

The best course for the range of difficult topics from signal to control theory. Many thanks to Prof Steve Brunton

phucvu
Автор

This course is amazing! this is a bridge between the physics, mathematics and engineering. In my opinion, ME564 and ME565 are one of the most important courses for engineers. Thank you very much, Prof. Steve Brunton

chihieule
Автор

That was amazing explanation!!! It certainly helped me understand what it does, and You also provided a decent example about how it can be used on the road. Thank you for releasing this awesome lecture for free!

kokoseij
Автор

Is it possible to get the code in python?

joschomo