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Dynamic Memory Model based Optimization of Scalar and Vector Quantizer Encoder

Authors:
Cheung, Gene
McCanne, Steven
Technical Report Identifier: CSD-99-1085
February 28, 2000
CSD-99-1085.pdf
CSD-99-1085.ps

Abstract: The rapid progress of computers and today's heterogeneous computing environment means computation-intensive signal processing algorithms must be optimized for performance in a machine dependent fashion. In this paper, we present design and analysis of an automated algorithm optimizer for scalar and vector quantizer encoders. Using a dynamic memory model, the optimal computation-memory tradeoff is exploited to minimize the encoding time. Experiments show our proposed optimized algorithm has marked improvements over existing techniques.