학술논문

Non-Asymptotic Bounds of Cumulant Generating Function of Codeword Lengths in Variable-Length Lossy Compression
Document Type
Periodical
Source
IEEE Transactions on Information Theory IEEE Trans. Inform. Theory Information Theory, IEEE Transactions on. 69(4):2113-2119 Apr, 2023
Subject
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Codes
Source coding
Distortion
Entropy
Symbols
Rate-distortion
Probability distribution
Cumulant generating function of codeword lengths
excess distortion probability
Rényi entropy
Shannon theory
variable-length lossy source coding
Language
ISSN
0018-9448
1557-9654
Abstract
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 $\epsilon \in [0,1)$ . Our non-asymptotic achievability and converse bounds are characterized by the quantity related to the Rényi entropy.