On the Sum-Rate Loss of Quadratic Gaussian Multiterminal Source Coding

This work studies the sum-rate loss of quadratic Gaussian multiterminal source coding, i.e., the difference between the minimum sum-rates of distributed encoding and joint encoding (both with joint decoding) of correlated Gaussian sources subject to MSE distortion constraints on individual sources....

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Veröffentlicht in:	IEEE transactions on information theory Jg. 57; H. 9; S. 5588 - 5614
Hauptverfasser:	Yang, Yang, Zhang, Yifu, Xiong, Zixiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.09.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	and supremum sum-rate loss Applied sciences Asymptotic methods Bi-eigen equal-variance with equal distortion Coding, codes Correlation analysis Covariance matrix Decoding Exact sciences and technology Information theory Information, signal and communications theory joint encoding Joints Loss measurement Normal distribution quadratic Gaussian multiterminal source coding reverse water-filling Signal and communications theory Source coding sum-rate Telecommunications and information theory Upper bound Lower bound Source coding Gaussian channel Decoding and supremum sum-rate loss sum-rate quadratic Gaussian multiterminal source coding Mean square error Bi-eigen equal-variance with equal distortion Upper bound joint encoding reverse water-filling Aqueous solution
ISSN:	0018-9448, 1557-9654
Online-Zugang:	Volltext
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