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
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;
Conference_Titel :
Information Theory Workshop, 2004. IEEE
Print_ISBN :
0-7803-8720-1
DOI :
10.1109/ITW.2004.1405301
