WE1.R4.2

Distributed Source Coding Using Constrained-Random-Number Generators

Jun Muramatsu, Nippon Telegraph and Telephone Corporation, Japan
Session:
Multi Terminal Source Coding
Track:
10: Source Coding and Data Compression
Location:
Omikron II
Presentation Time:
Wed, 10 Jul, 10:10 - 10:30
Session Chair:
Stark Draper, University of Toronto
Abstract
This paper investigates the general distributed lossless/lossy source coding formulated by Jana and Blahut. Their multi-letter rate-distortion region, an alternative to the region derived by Yang and Qin, is characterized by entropy functions for arbitrary general correlated sources. Achievability is shown by constructing a code based on constrained-random number generators.
Session WE1.R4
WE1.R4.1: Common Function Reconstruction with Information Swapping Terminals
Tharindu Adikari, Stark Draper, University of Toronto, Canada
WE1.R4.2: Distributed Source Coding Using Constrained-Random-Number Generators
Jun Muramatsu, Nippon Telegraph and Telephone Corporation, Japan
WE1.R4.3: On Channel Simulation with Causal Rejection Samplers
Daniel Goc, Gergely Flamich, University of Cambridge, United Kingdom
WE1.R4.4: Implicit and Explicit Formulas of the Joint RDF for a Tuple of Multivariate Gaussian Sources with Individual Square-Error Distortions
Evagoras Stylianou, Technical University of Munich, Germany; Charalambos D. Charalambous, Themistoklis Charalambous, University of Cyprus, Cyprus
Resources
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