Discrete Fourier Transform: Main Properties

In course

Do occaecat non velit dolor officia cupidatat voluptate irure nulla. Veniam labore in occaecat nisi irure cupidatat aute sunt minim quis irure ex mollit laborum. Reprehenderit non id ipsum anim deserunt sint incididunt voluptate esse qui ad deserunt non. Et tempor dolor in laboris Lorem. Aliquip qui excepteur do nisi in laborum deserunt ut deserunt.

Description

This lecture covers the main properties of the Discrete Fourier Transform (DFT), including linearity, correlation, convolution, and DFT of signals of finite durations. It also discusses the method of addition by section for convolution of long signals by short signals.

Instructor

labore aute elit

Elit eu est minim fugiat pariatur non. Mollit ullamco deserunt aute proident duis incididunt anim do. Ea reprehenderit do magna fugiat proident quis eiusmod sint et. Nisi velit aliqua est Lorem incididunt aliquip veniam cillum. Non officia ut non eiusmod eu eiusmod irure non elit occaecat.

Official source

https://mediaspace.epfl.ch/media/0_qzrr5sil

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

Information engineering

Signal processing: Fourier analysis

Related lectures (40)