In
information theory, joint source–channel coding is the encoding of a redundant
information source for transmission over a
noisy channel
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 (dig ...
, and the corresponding
decoding, using a single code instead of the more conventional steps of
source coding followed by
channel coding.
Joint source–channel coding has been proposed and implemented for a variety of situations, including speech and videotransmission.
References
Information theory
Fault tolerance
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