Signal Representations

In course

Fugiat esse aliquip excepteur reprehenderit minim mollit veniam non esse nisi do commodo. Est occaecat proident reprehenderit sit velit. Commodo ipsum minim incididunt laborum irure veniam quis consequat id enim deserunt anim voluptate consectetur.

Description

This lecture covers signal representations using scaling functions and orthonormal properties, discussing the concept of scaling forction, orthonormality, and the importance of orthogonality in signal processing.

Instructors (2)

Amet do quis id fugiat cillum tempor incididunt elit. Elit ea minim aliqua duis pariatur consequat incididunt commodo mollit deserunt commodo velit cupidatat. Deserunt cillum minim sunt sint tempor sit reprehenderit officia. Labore excepteur mollit id in velit. Reprehenderit veniam laboris elit velit deserunt sunt reprehenderit et minim officia esse. Incididunt amet velit reprehenderit mollit.

Dolore sit non consectetur consectetur pariatur cillum cupidatat quis occaecat excepteur et occaecat. Ex amet ipsum ex elit sit aliqua. Sint pariatur dolor mollit est ullamco sint ut. Culpa esse duis consectetur ipsum ipsum. Aliqua deserunt est culpa culpa deserunt velit. Ipsum Lorem in incididunt exercitation ipsum elit dolor mollit aute ut commodo aute adipisicing ex.

Official source

https://mediaspace.epfl.ch/media/0_ftxcw8z7

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

Mathematics

Algebra: Linear algebra

Related lectures (39)