Information Ambiguity

Agnihotri, Samar and Jamadagni, HS (2008) Information Ambiguity. In: International Symposium on Information Theory and Its Applications, DEC 07-10, 2008, Auckland, NEW ZEALAND, pp. 1597-1602.

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Abstract

We propose a quantity called information ambiguity that plays the same role in the worst-case information-theoretic nalyses as the well-known notion of information entropy performs in the corresponding average-case analyses. We prove various properties of information ambiguity and illustrate its usefulness in performing the worst-case analysis of a variant of distributed source coding problem.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	International Symposium on Information Theory and Its Applications, Auckland, NEW ZEALAND, DEC 07-10, 2008
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	02 Feb 2010 07:19
Last Modified:	19 Sep 2010 05:54
URI:	http://eprints.iisc.ac.in/id/eprint/25498

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