期刊
IEEE TRANSACTIONS ON INFORMATION THEORY
卷 69, 期 4, 页码 2113-2119出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2022.3229358
关键词
Codes; Source coding; Distortion; Entropy; Symbols; Rate-distortion; Probability distribution; Cumulant generating function of codeword lengths; excess distortion probability; Renyi entropy; Shannon theory; variable-length lossy source coding
This paper investigates variable length source coding with criteria of normalized cumulant generating function of codeword lengths and excess distortion probability. It analyzes the non-asymptotic fundamental limit of normalized cumulant generating function of codeword lengths under the constraint that excess distortion probability is allowed up to e ? [0, 1). The non-asymptotic achievability and converse bounds are characterized by the quantity related to Renyi entropy.
This paper investigates the problem of variable length source coding with the criteria of the normalized cumulant generating function of codeword lengths and the excess distortion probability. We analyze the non-asymptotic fundamental limit of the normalized cumulant generating function of codeword lengths under the constraint that the excess distortion probability is allowed up to e ? [0, 1). Our non-asymptotic achievability and converse bounds are characterized by the quantity related to the Renyi entropy.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据