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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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|
|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, (CEDT) Centre for Electronic Design & Technology)|
|Date Deposited:||02 Feb 2010 07:19|
|Last Modified:||19 Sep 2010 05:54|
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