Joint source-decoding in large scale sensor networks using Markov random field models

DOI10.1016/J.SIGPRO.2010.05.019zbMath1197.94149OpenAlexW2091972047MaRDI QIDQ1957914

Pradeepa Yahampath

Publication date: 27 September 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.05.019

zbMATH Keywords

distributed quantizationSlepian-Wolf codingMarkov-random field modelsmulti-terminal source coding

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

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• Editorial: Distributed source coding
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• Network Vector Quantization
• Generalized Coset Codes for Distributed Binning
• Rate Region of the Quadratic Gaussian Two-Encoder Source-Coding Problem
• On Multiterminal Source Code Design
• Rate-distortion performance of DPCM schemes for autoregressive sources
• Distributed estimation and quantization
• Objective Bayesian Analysis of Spatially Correlated Data
• Factor graphs and the sum-product algorithm
• Distributed Estimation and Detection for Sensor Networks Using Hidden Markov Random Field Models
• Distributed source coding using syndromes (DISCUS): design and construction
• Noiseless coding of correlated information sources

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