Lecture 18: Transmitting Information Reliably over a Noisy Channel & Shannon’s Noisy Coding Theorem // TRAIN BRAIN

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

MIT 18.200 Principles of Discrete Applied Mathematics, Spring 2024
Instructor: Ankur Moitra
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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.
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