Vector Gaussian Multiple Description with Individual and Central Receivers

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dc.creatorWang, H.
dc.creatorViswanath, P.
dc.date2005-10-25
dc.date.accessioned2026-07-07T08:15:43Z
dc.date.available2026-07-07T08:15:43Z
dc.descriptionL 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.
dc.identifierhttps://arxiv.org/abs/cs/0510078
dc.identifierhttp://arxiv.org/abs/cs/0510078
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/133537
dc.subjectInformation Theory
dc.titleVector Gaussian Multiple Description with Individual and Central Receivers
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