计算机工程与应用2013，Vol.49Issue(4)：121-124,4.DOI:10.3778/j.issn.1002-8331.1107-0334
NGA实现互信息量最小化的盲源分离
NGA achieves blind source separation with mutual information minimum
摘要
Abstract
A new proposed Blind Source Separation (BSS) algorithm with Natural Gradient Algorithm (NGA) achieves Minimum Mutual Information (MMI). It is reasonable to adopt mutual information to illustrate the similarity of the autocorrelation function and the information. To achieve the ideal separation matrix with MMI, the natural gradient algorithm is applied to the separation matrix optimization process. Simulation results verify the validity of the proposed algorithm. Simulation results show that the proposed algorithm has faster convergence speed and better separation effect than traditional gradient algorithm.关键词
盲源分离/循环平稳信号/互信息量/自然梯度算法Key words
blind source separation/cyclostationary signal/mutual information/natural gradient algorithm分类
信息技术与安全科学引用本文复制引用
陈琛,马庆伦,李灯熬,赵菊敏..NGA实现互信息量最小化的盲源分离[J].计算机工程与应用,2013,49(4):121-124,4.基金项目
国家自然科学基金(No.60772101) （No.60772101）
山西省青年科学基金(No.2010021017-1) （No.2010021017-1）
山西省高校科技研究开发项目(No.20090011) （No.20090011）
山西省青年科学基金(No.2007021016). （No.2007021016）
