Vector Gaussian Multiple Description with Individual and Central Receivers

Details Vector Gaussian Multiple Description with Individual and Central Receivers Vector Gaussian Multiple Description with Individual and Central Receivers

2005-10-25

arxiv.org/abs/cs/0510078v1

Computer Science

Information Theory

Scientific paper

L multiple descriptions of a vector Gaussian source for individual and central receivers are investigated. The sum rate of the descriptions with covariance distortion measure constraints, in a positive semidefinite ordering, is exactly characterized. For two descriptions, the entire rate region is characterized. Jointly Gaussian descriptions are optimal in achieving the limiting rates. The key component of the solution is a novel information-theoretic inequality that is used to lower bound the achievable multiple description rates.

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