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Lossy source coding algorithm using lossless multi-terminal source codes

Authors: Jun Muramatsu; Sigeki Miyake;

Lossy source coding algorithm using lossless multi-terminal source codes

Abstract

A lossy source coding algorithm is presented that employs lossless multi-terminal source codes. By using nearly optimal lossless multi-terminal source codes, the proposed algorithm achieves the rate-distortion limit. The construction of lossless multi-terminal source codes, which are needed for the lossy source coding algorithm, can be realized by using sparse matrices, known as Low Density Parity Check (LDPC) matrices, or Turbo codes, and practically efficient decoding algorithms such as the Belief Propagation (BP) algorithm and the Linear Codes Linear Program (LCLP) algorithm.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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