Title :
Universal Algorithms for Channel Decoding of Uncompressed Sources
Author :
Ordentlich, Erik ; Seroussi, Gadiel ; VerdÙ, Sergio ; Viswanathan, Krishnamurthy
Author_Institution :
Hewlett-Packard Labs., Palo Alto
fDate :
5/1/2008 12:00:00 AM
Abstract :
In many applications, an uncompressed source stream is systematically encoded by a channel code (which ignores the source redundancy) for transmission over a discrete memoryless channel. The decoder knows the channel and the code but does not know the source statistics. This paper proposes several universal channel decoders that take advantage of the source redundancy without requiring prior knowledge of its statistics.
Keywords :
channel coding; decoding; discrete memoryless channel; uncompressed source stream; universal channel decoding algorithm; Channel capacity; GSM; Information theory; Maximum likelihood decoding; Memoryless systems; Noise reduction; Probability; Propagation losses; Redundancy; Statistics; Belief propagation; channel decoding; denoising; discrete memoryless channels; joint source–channel decoding; lossless compression; soft decoding; universal algorithms;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2008.920187