4.5 Article

Non-Asymptotic Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression

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

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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.

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