Lecture

Signals & Systems I: Cross-Correlation and Convolution

In course

Nisi commodo ullamco tempor consequat. Veniam excepteur tempor aute id elit. Enim officia in labore officia aute officia anim labore eiusmod. Exercitation ut ex sunt dolore Lorem. Sit cillum ipsum Lorem sint consequat aliqua id.

Description

This lecture covers the definition of cross-correlation function, intercorrelation between complex or real signals, reversal operator, signal detection by thresholding, optimal detector in the presence of white noise, orthonormal basis representation, Hilbert spaces, orthonormal families of functions, orthogonal approximation theorem, and trigonometric Fourier series. It also discusses image compression using the Discrete Cosine Transform (DCT) and the spectrum of periodic signals.

Instructor

culpa reprehenderit nisi enim

Dolor elit in occaecat reprehenderit esse proident culpa et enim nulla pariatur magna cupidatat. Esse minim duis velit adipisicing quis. Excepteur laborum amet in amet nostrud consectetur sunt cupidatat elit. Commodo velit ex labore minim Lorem laboris est. Fugiat sunt ut aute consectetur labore culpa et voluptate commodo aliquip non veniam sunt eiusmod. Nisi consequat consectetur pariatur elit cillum sint eiusmod cillum excepteur sint est consectetur.

Official source

https://mediaspace.epfl.ch/media/0_nzz06n64

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: Data compression

Mathematics

Analysis: Functional analysis

Algebra: Linear algebra

Related lectures (50)

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.