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Design of trellis codes for source coding with side information at the decoder

Authors: Xin Wang; Michael T. Orchard;

Design of trellis codes for source coding with side information at the decoder

Abstract

The problem of source coding with side information at the decoder arises in many practical scenarios. Although this problem has been well characterized in information theory, particularly by the work of Wyner and Ziv (1976), there is still lack of successful algorithms for it. In this paper, we use trellis codes to approach the theoretical limit. An embedded trellis code structure is proposed, and its properties are examined. Using this structure, we can achieve the granular gain at the encoder as well as the coding gain at the decoder. Simulation results show that the proposed scheme outperforms the algorithms reported in the literature. It is also indicated that the performance of the proposed algorithm can approach the information-theoretic limit at high rate as the trellis complexity increases.

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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!
10
Average
Top 10%
Average
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