DocumentCode
3428015
Title
Achieving the Rate-Distortion Bound with Linear Codes
Author
Chen, Jun ; He, Da-Ke ; Jagmohan, Ashish
Author_Institution
IBM T. J. Watson Res. Center, Yorktown Heights
fYear
2007
fDate
2-6 Sept. 2007
Firstpage
662
Lastpage
667
Abstract
We show that linear codes can achieve the rate- distortion bound of a discrete memoryless source with arbitrary distortion measure if the size of finite field is sufficiently large. An alternative approach based on multilevel quantization is proposed. The optimality of this approach and the sufficiency of binary linear codes are established. Linear codes are also shown to be able to achieve a simplified version of the El Gamal-Cover (EGC) region for multiple description coding.
Keywords
binary codes; distortion; linear codes; quantisation (signal); El Gamal-cover region; arbitrary distortion; binary linear codes; discrete memoryless source; multilevel quantization; multiple description coding; rate-distortion bound; Channel coding; Decoding; Distortion measurement; Galois fields; Linear code; Nonlinear distortion; Quantization; Rate-distortion; Size measurement; Source coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop, 2007. ITW '07. IEEE
Conference_Location
Tahoe City, CA
Print_ISBN
1-4244-1564-0
Electronic_ISBN
1-4244-1564-0
Type
conf
DOI
10.1109/ITW.2007.4313153
Filename
4313153
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