BLIND SIGNAL SEPARATION BASED ON ME AND STATISTICAL ESTIMATION

被引：0
|
作者：
Yu Xiao Hu Guangrui(Department of Electronic Engineering
机构：
来源：
JournalofElectronics(China) | 1999年 / 02期
关键词：
Blind Signal Separation (BSS); EME algorithm; Recursive architecture; pdf estimation;
D O I：
暂无
中图分类号：
TN911.7 [信号处理];
学科分类号：
0711 ; 080401 ; 080402 ;
摘要：
There are two major approaches for Blind Signal Separation (BSS) problem: Maximum Entropy (ME) and Minimum Mutual Information (MMI) algorithms. Based on the recursive architecture and the relationship between the ME and MMI algorithms, an Extended ME(EME) algorithm is proposed by using probability density function (pdf) estimation of the outputs to deduce the corresponding iterative formulas in BSS. Based on the simulation results, it can be concluded that the proposed algorithm has better performances than the traditional ME algorithm in convolute mixture BSS problems.
引用
收藏
页码：165 / 171
页数：7
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