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Two Efficient Vector Quantization Algorithms

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2000 International Conference on Signal Processing Applications and Technology (ICSPAT) Paper
337 KB (5 pages)
October 19, 2000
 

Laurence Wolfe
Hood College

Interpreting the problem in terms of statistical risk, an approach and two efficient algorithms are suggested for efficiently quantizing a parametric source with unknown statistics using a minimax criterion. Unlike universal quantizers, the method and algorithms achieve their optimal performance on a fixed dimension basis.

 
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