Episode Details

Back to Episodes
Lecture 18: Transmitting Information Reliably over a Noisy Channel and Shannon’s Noisy Coding Theorem

Lecture 18: Transmitting Information Reliably over a Noisy Channel and Shannon’s Noisy Coding Theorem

Published 2 weeks ago
Description

MIT 18.200 Principles of Discrete Applied Mathematics, Spring 2024
Instructor: Ankur Moitra
View the complete course: https://ocw.mit.edu/courses/18-200-principles-of-discrete-applied-mathematics-spring-2024
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61p2fXeXjNCrfNHFwyW-bl0

Uploaded 17-12-25

How do you transmit information reliably over noisy channels? We first discuss simple codes: repetition codes. Shannon’s noisy coding theorem shows much better codes exist. We prove the simplest case of this theorem — for the binary symmetric channel.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.



Learn more about your ad choices. Visit megaphone.fm/adchoices

Learn more about your ad choices. Visit megaphone.fm/adchoices

Listen Now

Love PodBriefly?

If you like Podbriefly.com, please consider donating to support the ongoing development.

Support Us