Minimum entropy algorithms for source separation

被引：2
|
作者：
Wu, HC [1 ]
Principe, JC [1 ]
机构：
[1] Univ Florida, Dept Elect & Comp Engn, Computat Neuroengn Lab, Gainesville, FL 32611 USA
来源：
1998 MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, PROCEEDINGS | 1999年
关键词：
D O I：
10.1109/MWSCAS.1998.759478
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The minimum entropy or maximum likelihood estimation can be utilized in blind source separation problem. Eased on the local generalized Gaussian probability density model, a set of general anti-Hebbian rule can be derived. This set of adaptation rules give promising results when we test the real recordings.
引用
收藏
页码：242 / 245
页数：4
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