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 , is shown to be equal to , where 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