Title :
Information ambiguity
Author :
Agnihotri, Samar ; Jamadagni, H.S.
Author_Institution :
CEDT, Indian Inst. of Sci., Bangalore
Abstract :
We propose a quantity called information ambiguity that plays the same role in the worst-case information-theoretic analyses 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.
Keywords :
entropy; source coding; distributed source coding problem; information ambiguity; information entropy; worst-case information-theoretic analyses; Context; Energy consumption; Information analysis; Information entropy; Information theory; Performance analysis; Performance evaluation; Random variables; Source coding; Wireless sensor networks;
Conference_Titel :
Information Theory and Its Applications, 2008. ISITA 2008. International Symposium on
Conference_Location :
Auckland
Print_ISBN :
978-1-4244-2068-1
Electronic_ISBN :
978-1-4244-2069-8
DOI :
10.1109/ISITA.2008.4895660
