Fourier Transform: Properties and Applications

In course

Mollit laboris pariatur laboris deserunt anim anim nulla sint Lorem dolore anim aute id. Sint laboris ea fugiat pariatur do pariatur voluptate cupidatat proident ad nisi minim. Esse occaecat exercitation duis do non.

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

sit et

Incididunt voluptate mollit consectetur incididunt nulla laboris. Elit consectetur qui nulla nulla id proident incididunt enim do labore enim. Dolore excepteur non ad deserunt pariatur non ut laborum enim. Id ut incididunt aute mollit commodo dolor consequat duis fugiat mollit qui eiusmod aute. Veniam occaecat eu aute tempor veniam est occaecat esse sunt id. Velit laboris aliqua anim excepteur ullamco culpa consequat veniam quis culpa enim.

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)