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    Noisy-channel coding theorem - Wikipedia

    • 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 (in theory) to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channSee more

    Overview

    Stated by Claude Shannon in 1948, the theorem describes the maximum possible efficiency of
    The … See more

    Mathematical statement

    The basic mathematical model for a communication system is the following:
    A message W is transmitted through a noisy channel by using encoding and decoding functions. An encoder maps W into a pre-d… See more

    Outline of proof

    As with the several other major results in information theory, the proof of the noisy channel coding theorem includes an achievability result and a matching converse result. These two components serve to bo… See more

    Channel coding theorem for non-stationary memoryless channels

    We assume that the channel is memoryless, but its transition probabilities change with time, in a fashion known at the transmitter as well as the receiver.
    Then the channel capacity is given by
    The maxim… See more

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