Adaptive Distributed Source Coding

We consider distributed source coding in the presence of hidden variables that parameterize the statistical dependence among sources. We derive the Slepian-Wolf bound and devise coding algorithms for a block-candidate model of this problem. The encoder sends, in addition to syndrome bits, a portion...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 21; H. 5; S. 2630 - 2640
Hauptverfasser:	Varodayan, D., Yao-Chung Lin, Girod, B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.05.2012 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Approximation Codes Coding Coding, codes Complexity theory Data Compression - methods Decoders Decoding Density Detection, estimation, filtering, equalization, prediction Doping Entropy Exact sciences and technology Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Information, signal and communications theory Mathematical models Monitoring Monitoring systems Parity check codes Photography - methods Reproducibility of Results Sensitivity and Specificity Signal and communications theory Signal processing Signal Processing, Computer-Assisted Signal, noise Source coding Studies sum product algorithm Telecommunications and information theory Vectors Video Recording - methods video signal processing Performance evaluation Source coding Coding circuit Doping Distributed source signal Information rate Video technique Decoding Algorithm Information transmission Video signal processing Remote sensing Adaptive coding Image quality Monitoring system Quality control sum product algorithm Remote supervision
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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