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arXiv · 1404.5683

The Likelihood Encoder for Lossy Source Compression

Eva C. Song·Paul Cuff·H. Vincent Poor
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Abstract

In this work, a likelihood encoder is studied in the context of lossy source compression. The analysis of the likelihood encoder is based on a soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma gives alternative achievability proofs for classical source coding problems. The case of the rate-distortion function with side information at the decoder (i.e. the Wyner-Ziv problem) is carefully examined and an application of the likelihood encoder to the multi-terminal source coding inner bound (i.e. the Berger-Tung region) is outlined.

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Eva C. Song, Paul Cuff, H. Vincent Poor. 2014-04-23. The Likelihood Encoder for Lossy Source Compression. https://arxiv.org/abs/1404.5683

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