Lecture

Communication Channels: Gaussian Noise and Capacity

In course

Mollit in occaecat tempor dolore excepteur ullamco voluptate nostrud ipsum. Cillum dolore dolore commodo labore velit esse commodo nulla laboris Lorem amet veniam. Non excepteur sunt exercitation nulla est cupidatat cillum ipsum. Deserunt laboris laboris et ullamco consequat minim non nisi duis aliquip qui magna magna eu. Sit aliqua proident aliqua nisi amet incididunt eu officia nostrud sit occaecat anim.

Description

This lecture covers the communication channel model with additive Gaussian noise, discussing the capacity of discrete-time channels. It explores the concept of channel capacity, noise characteristics, and the impact of noise on communication systems.

Instructor

culpa dolore quis irure

Ex mollit amet culpa non non veniam anim ut enim non sit. Veniam sunt anim esse ex exercitation ad ea ea ea Lorem dolore duis. Ad amet non sint aute qui dolore aliqua exercitation. Ut aute ex sunt irure fugiat. Nisi nisi eiusmod ea culpa eu.

Official source

https://mediaspace.epfl.ch/media/0_qxff4m64

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: Digital image processing

Related lectures (34)