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Generalized scalar quantizer design using dynamic programming

delete1999-05-01
delete0
PRE
AI
D
D. Blasiak
J
Jiandong Shen
W
Wai-Yip Chan
DOI：10.1109/97.755427delete
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Abstract

Abstract

En 中文
We cast the design of generalized scalar quantizers as a dynamic programming problem. The algorithm enables the design of discrete nonparametric estimators directly from training data and has the advantage of admitting a variety of constraints on the estimator mapping. The utility of the algorithm is illustrated with the design of rate-distortion performance predictors for a video coder.
Keywords:
dynamic programming
estimation
nonlinear estimation
quantization
source coding
vector quantization
video coding
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

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No organization information available