DocumentCode
2057024
Title
Statistical mechanics of data compression theorem
Author
Murayama, Tatsuto
Author_Institution
Tokyo Inst. of Technol., Kanagawa, Japan
fYear
2002
fDate
2002
Firstpage
254
Abstract
We analyze the performance of a linear code used for data compression of a Slepian-Wolf type. In our framework, two correlated data are separately compressed into codewords employing Gallager-type codes and cast into a communication network through two independent input terminals. At the output terminal, the received codewords are jointly decoded by a practical algorithm based on the Thouless-Anderson-Palmer approach. Our analysis shows that the achievable rate region presented in the data compression theorem is described as first-order phase transitions among several phases. The typical performance of the practical decoder is also well evaluated by the replica method.
Keywords
data compression; decoding; error correction codes; linear codes; sparse matrices; statistical mechanics; Gallager-type codes; Slepian-Wolf problem; Thouless-Anderson-Palmer approach; achievable rate region; codewords; communication network; data compression theorem; decoder; error-correcting codes; first-order phase transitions; independent input terminals; linear code; replica method; sparse matrices; statistical mechanics; Arithmetic; Communication networks; Data compression; Ear; Equations; Error correction codes; Information retrieval; Iterative decoding; Performance analysis; Sparse matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN
0-7803-7501-7
Type
conf
DOI
10.1109/ISIT.2002.1023526
Filename
1023526
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