Asymptotically Optimal Decision Rules for Joint Detection and Source Coding

The problem of joint detection and lossless source coding is considered. We derive asymptotically optimal decision rules for deciding whether or not a sequence of observations has emerged from a desired information source, and to compress it if has. In particular, our decision rules asymptotically m...

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Bibliographic Details
Published in:	IEEE transactions on information theory Vol. 60; no. 11; pp. 6787 - 6795
Main Author:	Merhav, Neri
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Asymptotic methods Asymptotic properties Coding Coding theory Compressing Cost engineering Data compression Decision analysis False alarms Information theory Joints Linear programming Minimization Optimization Probability Source coding Testing Vectors misdetection universal schemes source coding hypothesis testing false alarm Error exponent
ISSN:	0018-9448, 1557-9654
Online Access:	Get full text
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