Lecture

Discrete Signals and Systems II: Fourier Transform Properties

Description

This lecture covers the properties of the discrete Fourier transform (DFT) and its relationship with the continuous-time Fourier transform. It explains the definition of DFT, its matrix representation, and the calculation of the Fourier transform for n-periodic signals. The lecture also discusses DFT reversal, DTFT resampling, and the link between DFT and continuous-time Fourier transform. Additionally, it explores the interpolation formula for non-periodic signals and the concept of cyclic convolution. The instructor emphasizes the importance of understanding the DFT properties and its applications in signal processing.

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.

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.