A Universal Random Coding Ensemble for Sample-Wise Lossy Compression
We propose a universal ensemble for the random selection of rate–distortion codes which is asymptotically optimal in a sample-wise sense. According to this ensemble, each reproduction vector, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline&quo...
Main Author: | Neri Merhav |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-08-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/25/8/1199 |
Similar Items
-
Lossy Compression of Individual Sequences Revisited: Fundamental Limits of Finite-State Encoders
by: Neri Merhav
Published: (2024-01-01) -
Lossy P-LDPC Codes for Compressing General Sources Using Neural Networks
by: Jinkai Ren, et al.
Published: (2023-01-01) -
The Efficient Design of Lossy P-LDPC Codes over AWGN Channels
by: Runfeng Wang, et al.
Published: (2022-10-01) -
Belief Propagation Optimization for Lossy Compression Based on Gaussian Source
by: Huan Deng, et al.
Published: (2023-10-01) -
Entropy Approximation in Lossy Source Coding Problem
by: Marek Śmieja, et al.
Published: (2015-05-01)