Minimum conditional entropy context quantization

被引：15

作者：

Wu, XL ^{[1
]}

Chou, PA ^{[1
]}

Xue, XH ^{[1
]}

机构：

[1] Univ Western Ontario, Dept Comp Sci, London, ON N6A 5B7, Canada

来源：

2000 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS | 2000年

关键词：

D O I：

10.1109/ISIT.2000.866333

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We consider the problem of finding the quantizer Q that quantizes the X-dimensional causal context C-i = (Xi-ti,Xi-t2,..., Xi-tK) of a source symbol Xi into one of M conditioning states such that the conditional entropy H(X-1\Q(C-i)) is minimized. The resulting minimum conditional entropy context quantizer can be used for sequential coding of the sequence X-0, X-1, X-2,....

引用

页码：43 / 43

页数：1

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