Fast Fourier Transforms and Audio

Offered By: Steve Brunton via YouTube

Course Description

Overview

Explore the fundamental concepts of Fast Fourier Transforms (FFT) and their application to audio processing in this comprehensive lecture from the Engineering Mathematics course at the University of Washington. Delve into topics such as Discrete Fourier Transform, the differences between DFT and NFT, and the historical context of FFT. Learn how to implement FFT using MATLAB, analyze noise in audio signals, and apply filtering techniques. Gain hands-on experience with practical examples, including playing sounds, loading music files, and creating spectrograms. Access accompanying lecture notes and MATLAB code examples to reinforce your understanding of these essential signal processing concepts.

Syllabus

Discrete Fourier Transform
Fast Fourier Transform
DFT vs NFT
History
MATLAB
Noise
Filter Noise
Play Sound
Load Music
Spectrogram

Taught by

Steve Brunton

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