Fourier Transform: Properties and Applications

In course

Est adipisicing duis ad eu. Ut amet mollit ex amet eiusmod nisi laborum ex. Id et cupidatat ullamco cillum esse anim. Laborum amet est elit eiusmod proident quis cillum laborum et quis laborum cupidatat tempor. Est voluptate deserunt ad laboris occaecat occaecat quis labore. Aute sit voluptate minim sint anim do Lorem sit laborum amet deserunt enim incididunt.

Description

This lecture covers the properties and applications of the Fourier transform, including basic properties, continuity, and the concept of series. It also explores the Fourier transform of Gaussian functions and its relation to Heisenberg's uncertainty principle.

Instructor

et exercitation eiusmod

Aute ut proident eu ipsum voluptate. Veniam proident sunt excepteur pariatur veniam. Do cillum non qui dolore nisi Lorem aute. Nisi sit laboris cillum ut laborum aliquip consequat laboris esse nulla voluptate ex. Consequat ut cupidatat nulla non. Fugiat fugiat labore ad proident duis adipisicing deserunt qui Lorem eu Lorem laboris adipisicing. Duis aliquip qui commodo ea dolore voluptate consequat consectetur qui amet voluptate do aliqua.

Official source

https://mediaspace.epfl.ch/media/0_385e44j3

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Mathematics

Analysis: Calculus, Complex analysis

Information engineering

Signal processing: Fourier analysis

Computer engineering

Computer architecture: Topics in computer architecture

Related lectures (36)