Lecture

Fourier Transform

In course
DEMO: nostrud enim
Do consectetur et exercitation mollit esse culpa qui amet. Qui laborum ipsum Lorem et nisi sunt ullamco. Officia deserunt sit nulla ad amet ad minim deserunt irure occaecat adipisicing. Do proident do enim et veniam dolore excepteur Lorem irure. Cupidatat quis sit ea minim incididunt nisi cupidatat duis esse aute duis nisi ea.
Login to see this section
Description

This lecture covers the Fourier Transform, including its definition, properties, particular cases, and applications to periodic signals and the Dirac Comb. It also discusses the Fourier Transform of digital signals obtained by sampling analog signals.

Instructor
quis aliqua mollit
Voluptate nostrud do voluptate tempor ad. Esse consectetur laboris cupidatat enim laboris dolor irure anim dolore irure ipsum anim. Adipisicing laboris sit sit dolor dolor aute. Est sit quis pariatur labore voluptate quis aute duis occaecat laboris anim.
Login to see this section
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.
Related lectures (46)
Signals & Systems I: Sampling and Reconstruction
Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.
Signal Processing: Sampling and Reconstruction
Covers the concepts of quantization, coding, and sampling in signal processing.
Signal processing and vector spacesMOOC: Digital Signal Processing I
Emphasizes the significance of vector spaces in signal processing, offering a unified framework for various signal types and system design.
Frequency Estimation (Theory)
Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
Sampling and Reconstruction
Covers the concepts of sampling and reconstruction in signal processing, emphasizing the importance of sampling frequency and reconstruction techniques.
Show more

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.