Lecture 7: Noisy Channel Coding (II): The Capacity of a Noisy Channel

author: David MacKay, University of Cambridge
produced by: David MacKay (University of Cambridge)
author: David MacKay, University of Cambridge
published: Nov. 5, 2012,   recorded: May 2012,   views: 13687
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In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem or Shannon's limit), establishes that for any given degree of noise contamination of a communication channel, it is possible to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel. https://wcitv.com/


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