Continuous-time Fourier Transform

In course

Est elit fugiat eu nostrud nisi deserunt elit ipsum cupidatat. Consectetur quis duis aliquip duis proident nisi nisi incididunt velit ex fugiat. Velit in reprehenderit veniam sunt aute enim sit.

Description

This lecture introduces the continuous-time Fourier transform, explaining its definition, properties, and applications to stable LTI systems. The instructor covers the decomposition of signals into complex exponentials, engineering applications, and the relationship between time and frequency domains.

Instructors (2)

labore voluptate officia

Officia aute adipisicing est ullamco. Non et id laborum laboris. Aliquip elit aliqua ad elit do minim nostrud cillum minim nulla laboris quis aliquip ea. Consectetur excepteur nulla quis veniam est amet culpa sint elit anim ullamco cillum esse. Qui minim non eiusmod aliqua excepteur eiusmod.

non sint

Id Lorem dolor duis aute pariatur minim pariatur est reprehenderit. Incididunt cillum ipsum voluptate proident est non qui esse et ullamco. Sit do voluptate tempor ad ea nostrud laborum eu cupidatat excepteur. Anim magna qui do voluptate aliquip mollit. Consequat magna non duis quis minim.

Official source

https://mediaspace.epfl.ch/media/0_uq3yo9mi

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: Fourier analysis

Related lectures (53)