摘要
指出了在盲信号分离过程中 ,基于独立分量分析的定点算法 ,具有结构简单、运算速度快的特点 ,但是在有些情况下 ,该算法是否收敛仍具有不确定性 ,限制了它的使用范围 .基于信息理论原理提出了一种改进的盲信号分离算法 ,经计算机仿真和对实际生物信号处理的实验表明
In blind sources separation(BSS) technique,a fast fixed point algorithm based on independent commponet analysis(ICA) have been developed. The algorithm possesses the advantages of simply structure and fast computation, which is an important method in extracting biomedical signals .But due to the algorithm convergency is not sure in some conditions,its application areas is limited. Therefore,we present an improved fixed algorithm based on information theory. Results from a series of simulative or actual experiments show that, the stability and convergency of algorithm is improved.
出处
《中南民族大学学报（自然科学版）》
CAS
2004年第1期38-41,45,共5页
Journal of South-Central University for Nationalities：Natural Science Edition
基金
国家自然科学基金资助项目 (30 370 393)
