The Likelihood Encoder for Lossy Compression

@article{Song2016TheLE,
  title={The Likelihood Encoder for Lossy Compression},
  author={Eva C. Song and Paul W. Cuff and H. Vincent Poor},
  journal={IEEE Transactions on Information Theory},
  year={2016},
  volume={62},
  pages={1836-1849}
}
A likelihood encoder is studied in the context of lossy source compression. The analysis of the likelihood encoder is based on the soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma yields simple achievability proofs for classical source coding problems. The cases of the point-to-point rate-distortion function, the rate-distortion function with side information at the decoder (i.e., the Wyner-Ziv problem), and the multi-terminal… CONTINUE READING
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A new approach to lossy compression and applications to security

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