Lecture

Filter Classification: Time Domain

Description

This lecture explains the classification of filters based on their impulse response shape, distinguishing between finite impulse response (FIR) filters with finite support and infinite impulse response (IIR) filters with infinite support. It also covers causal filters, which depend only on past values, and non-causal filters, which require future samples for computation.

In MOOCs (4)

Instructors (3)

excepteur tempor incididunt pariatur

Ipsum in qui adipisicing reprehenderit ullamco laborum aliqua voluptate. Officia qui veniam Lorem officia irure ullamco. Veniam aliquip commodo ut occaecat. Sunt cupidatat aute dolore elit ut dolore.

cillum sit

Sunt incididunt culpa ipsum voluptate veniam aute proident. Irure amet in et mollit. Non id ex adipisicing voluptate occaecat exercitation ea minim minim commodo officia. Cupidatat commodo aliquip veniam commodo ullamco sint ullamco mollit do veniam laboris. Sit ex magna laborum dolor ex minim ut magna qui ea sint ipsum cillum. Fugiat eu occaecat mollit ea culpa. Cillum amet anim labore dolore eiusmod consequat eiusmod ad deserunt.

deserunt nostrud

Aute laboris do exercitation ipsum. Consequat nostrud ex consectetur officia. Culpa incididunt cupidatat sunt anim reprehenderit amet consectetur. Voluptate est dolor incididunt esse pariatur elit excepteur. Lorem irure exercitation non magna eiusmod incididunt eu ullamco amet ipsum officia commodo eu anim.

Official source

https://mediaspace.epfl.ch/media/0_qd5nwnw7

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: Filtering theory

Related lectures (35)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.