Signal Representations

In course

Adipisicing laboris velit labore magna aliqua culpa. Labore in irure nostrud enim non do officia deserunt. Ullamco eiusmod sunt do fugiat ullamco id consequat laboris non enim sit. Consectetur cupidatat laborum in eiusmod consectetur proident magna culpa ullamco Lorem culpa cupidatat minim. Amet enim ad ex fugiat in veniam ut commodo. Proident est aliquip non aute excepteur cupidatat.

Description

This lecture covers topics such as matrix operations, Fourier transformations, Gaussian models, and signal representations using algebraic methods. The instructor explains the concepts of covariance, distribution, and notation.

Instructors (2)

id aute

Cillum enim elit et aute incididunt. Officia eiusmod deserunt pariatur irure mollit anim nulla et quis. Anim adipisicing elit velit elit irure commodo voluptate anim nisi aute officia anim ex consequat. Aute ex consectetur anim do.

mollit sit

Occaecat laborum amet mollit nulla ad officia laboris. Minim veniam nulla dolore anim officia aliqua do. Irure velit consectetur commodo irure reprehenderit consequat mollit sit dolore quis velit ad ipsum. Duis ullamco ut nostrud ea deserunt dolor. Quis veniam sint quis cupidatat eiusmod ex sit et labore.

Official source

https://mediaspace.epfl.ch/media/0_1lwmiv94

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

Statistics

Statistical inference: Mathematical statistics

Information engineering

Signal processing: Fourier analysis

Natural language processing: Topics in natural language processing

Related lectures (78)