Fast Fourier Transforms (FFT) and Audio 
Fast Fourier Transforms (FFT) and Audio
by Washington
Video Lecture 18 of 28
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Date Added: July 22, 2017

Lecture Description

ME565 Lecture 17
Engineering Mathematics at the University of Washington

Fast Fourier Transforms (FFT) and Audio

Matlab code:

Course Index

Course Description

This is the second part of Prof. Steve Brunton's course on Mechanical Engineering Mathematics. It will provide an in-depth overview of powerful mathematical techniques for the analysis of engineering systems. In addition to developing core analytical capabilities, students will gain proficiency with various computational approaches used to solve these problems. Applications will be emphasized, including fluid mechanics, elasticity and vibrations, weather and climate systems, epidemiology, space mission design, and applications in control.

In this course, we will develop many powerful analytic tools. Equally important is the ability to implement these tools on a computer. The instructor and TAs use Matlab, and all examples in class will be in Matlab.


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