DocumentCode :
429731
Title :
Universal variable-length data compression of binary sources using fountain codes
Author :
Caire, Giuseppe ; Shamai, Shlomo ; Shokrollahi, A. ; Verdú, Sergio
Author_Institution :
Inst. Eurecom, France
fYear :
2004
fDate :
24-29 Oct. 2004
Firstpage :
123
Lastpage :
128
Abstract :
This paper proposes a universal variable-length lossless compression algorithm based on fountain codes. The compressor concatenates the Burrows-Wheeler block sorting transform (BWT) with a fountain encoder, together with the closed-loop iterative doping algorithm. The decompressor uses a belief propagation algorithm in conjunction with the iterative doping algorithm and the inverse BWT. Linear-time compression/decompression complexity and competitive performance with respect to state-of-the-art compression algorithms are achieved.
Keywords :
binary codes; concatenated codes; iterative decoding; source coding; variable length codes; Burrows-Wheeler block sorting transform; belief propagation algorithm; binary sources; closed-loop iterative doping algorithm; concatenated code; decompressor; fountain codes; inverse BWT; linear-time compression/decompression complexity; lossless compression algorithm; performance; universal data compression; variable-length data compression; Belief propagation; Code standards; Compression algorithms; Data compression; Decoding; Doping; Encoding; Iterative algorithms; Parity check codes; Performance loss;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Workshop, 2004. IEEE
Print_ISBN :
0-7803-8720-1
Type :
conf
DOI :
10.1109/ITW.2004.1405286
Filename :
1405286
Link To Document :
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