DocumentCode
2769300
Title
Distributed source coding using serially-concatenated-accumulate codes
Author
Chen, Johnny ; Khisti, Ashish ; Malioutov, Dmitri M. ; Yedidia, Jonathan S.
Author_Institution
DEAS, Harvard Univ., Cambridge, MA, USA
fYear
2004
fDate
24-29 Oct. 2004
Firstpage
209
Lastpage
214
Abstract
We describe a practical method for distributed compression of q-ary sources using multi-level serially concatenated-accumulate codes. Our approach works well at high compression rates, and allows for graceful and incremental rate-adaptivity. Simulations show that the compression efficiency is near the information-theoretic limits for correlations between sources that obey a Gaussian or Laplacian distribution.
Keywords
Gaussian distribution; concatenated codes; source coding; Gaussian distribution; Laplacian distribution; compression efficiency; distributed compression; distributed source coding; incremental rate-adaptivity; information-theoretic limits; multi-level codes; q-ary sources; serially concatenated-accumulate codes; source correlations; Decoding; Dynamic range; Error correction codes; Laplace equations; Parity check codes; Proposals; Redundancy; Source coding; Streaming media; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop, 2004. IEEE
Print_ISBN
0-7803-8720-1
Type
conf
DOI
10.1109/ITW.2004.1405301
Filename
1405301
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