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Sequential Source Coding: An optimization viewpoint

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4 Author(s)
Borkar, V.S. ; School of Technlogy and Computer Science Tata Institute of Fundamental Research, India ; Mitter, S.K. ; Sahai, A. ; Tatikonda, S.

The problem of sequential source coding is to minimize the average entropy rate subject to a constraint on the average distortion and a causality constraint on codewords. This is cast as an optimization problem on an appropriate convex set of probability measures. Existence and properties of optimal sequential codes are explored. A sequential rate distortion theorem is proved and a construction given to show that in general, a "causality gap" exists.

Published in:

Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on

Date of Conference:

12-15 Dec. 2005