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Data Compression Conference (DCC '00)
Joint Source-Channel Soft Decoding of Huffman Codes with Turbo-Codes
Snowbird, Utah
March 28-March 30
ISBN: 0-7695-0592-9
Lionel Guivarch, CNET/DMR, France Telecom
Jean-Claude Carlach, CNET/DMR, France Telecom
Pierre Siohan, CNET/DMR, France Telecom
We present a new method for using a priori information at a bit level in the decoding of Huffman codes. Its basic principle is the computation and use of the bit probabilities derived from the symbol probabilities of Huffman codes. Thus, we obtain a joint source-channel decoding algorithm, which takes advantage of this a priori knowledge. Even better performances are obtained when a Turbo-Code like iterative decoding is carried out. Compared to separate decoding systems, the gain in signal to noise ratio varies from 0.5 up to 1 dB with an added complexity which is relatively limited.
Index Terms:
Joint source-channel decoding, Huffman, Turbo-codes, a priori information
Citation:
Lionel Guivarch, Jean-Claude Carlach, Pierre Siohan, "Joint Source-Channel Soft Decoding of Huffman Codes with Turbo-Codes," dcc, pp.83, Data Compression Conference (DCC '00), 2000
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