Recent Progress of the Quasientropy Approach to Signal and Image Processing

被引：0
|
作者：
Chen, Yang [1 ]
Zeng, Zhimin [1 ]
机构：
[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Peoples R China
来源：
EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PROCEEDINGS | 2009年 / 5754卷
关键词：
Quasientropy; Signal processing; Image processing; BLIND SEPARATION; MUTUAL INFORMATION; TEXTURAL FEATURES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The quasientropy (QE) is a class of infinitely many functions of probabilities that is similar to the Shannon entropy. In this paper, we review the application of the QE approach to independent component analysis (ICA) and chaotic time series analysis. We also report the new progress of the QE approach to textural features extraction in image processing.
引用
收藏
页码：355 / 362
页数：8
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