Reduced-Complexity Deterministic Annealing for Vector Quantizer Design

<p/> <p>This paper presents a reduced-complexity deterministic annealing (DA) approach for vector quantizer (VQ) design by using soft information processing with simplified assignment measures. Low-complexity distributions are designed to mimic the Gibbs distribution, where the latter is...

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Bibliographic Details
Main Authors: Ortega Antonio, Demirciler Kemal
Format: Article
Language:English
Published: SpringerOpen 2005-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/ASP.2005.1807

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