Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Fast Fourier Transforms and Audio

Steve Brunton via YouTube

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

Reviews

Start your review of Fast Fourier Transforms and Audio

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.