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The Optimal Compression Rate of Variable-to-Fixed Length Source Coding with a Non-Vanishing Excess-Distortion Probability

Information Theory 2018-03-20 v1 math.IT

Abstract

We consider the variable-to-fixed length lossy source coding (VFSC) problem. The optimal compression rate of the average length of variable-to-fixed source coding, allowing a non-vanishing probability of excess-distortion ε\varepsilon, is shown to be equal to (1ε)R(D)(1-\varepsilon)R(D), where R(D)R(D) is the rate-distortion function of the source. In comparison to the related results of Koga and Yamamoto as well as Kostina, Polyanskiy, and Verd\'{u} for fixed-to-variable length source coding, our results demonstrate an interesting feature that variable-to-fixed length source coding has the same first-order compression rate as fixed-to-variable length source coding.

Keywords

Cite

@article{arxiv.1803.06786,
  title  = {The Optimal Compression Rate of Variable-to-Fixed Length Source Coding with a Non-Vanishing Excess-Distortion Probability},
  author = {Lan V. Truong and Vincent Y. F. Tan},
  journal= {arXiv preprint arXiv:1803.06786},
  year   = {2018}
}

Comments

10 pages

R2 v1 2026-06-23T00:57:07.751Z