Generalized Statistics Framework for Rate Distortion Theory with Bregman Divergences

Simple item page
dc.creatorVenkatesan, R. C.
dc.date2007-01-10
dc.date2007-01-15
dc.date.accessioned2026-07-07T08:15:13Z
dc.date.available2026-07-07T08:15:13Z
dc.descriptionA variational principle for the rate distortion (RD) theory with Bregman divergences is formulated within the ambit of the generalized (nonextensive) statistics of Tsallis. The Tsallis-Bregman RD lower bound is established. Alternate minimization schemes for the generalized Bregman RD (GBRD) theory are derived. A computational strategy to implement the GBRD model is presented. The efficacy of the GBRD model is exemplified with the aid of numerical simulations.
dc.description5 pages + 2 figures. Typos corrected
dc.identifierhttps://arxiv.org/abs/cond-mat/0701218
dc.identifierhttp://arxiv.org/abs/cond-mat/0701218
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/133379
dc.subjectStatistical Mechanics
dc.subjectInformation Theory
dc.titleGeneralized Statistics Framework for Rate Distortion Theory with Bregman Divergences
dc.typetext

Files

Collections

arXiv