Title :
On the rate distortion function of sources with incomplete statistics
Author :
Vogel, Peter H A
Author_Institution :
Philips Kommunikations Ind. AG, Nuremberg, Germany
fDate :
1/1/1992 12:00:00 AM
Abstract :
Maximization of the rate distortion function (RDF) of a class of memoryless sources constrained by moments is transformed to a minimax problem. Kuhn-Tucker conditions for determining channel capacity and an RDF are solved simultaneously by a linear program. Special cases include the maximum entropy method, Gaussian densities, and spherical invariance
Keywords :
channel capacity; information theory; minimax techniques; Gaussian densities; Kuhn-Tucker conditions; channel capacity; incomplete statistics; information theory; linear program; maximum entropy method; memoryless sources; minimax problem; rate distortion function; spherical invariance; Block codes; Channel capacity; Distortion measurement; Entropy; Equations; Probability; Rate-distortion; Resource description framework; Statistics; Testing;
Journal_Title :
Information Theory, IEEE Transactions on
