摘要
分离(或解混合)矩阵的学习算法是盲信号分离的关键技术,矩阵联合对角化的预白化JADE算法是一种基于四阶累计量的学习算法。本文在分析该算法原理的基础上,从理论上找出了算法失效的原因,即源信号相关性越强,JADE盲信号分离算法失效问题越严重,并通过仿真实验证明了理论分析结果的正确性。
Leaming algorithm of matrix decomposing is the key technology for the Blind Source Separation, matrix joint - diagnalizing pre - whitening JADE algorithm is a learning algorithm based on 4th - order cumulation, Based on the analysis of the algorithm, the cause of the algorithm shortage is obtained, that is, the more stronger correlation of Source signal, the more uncertain problem of Source Separation appears, which is also demonstrated by the simulation resuhs.
出处
《计算技术与自动化》
2005年第3期63-65,共3页
Computing Technology and Automation
关键词
盲信号分离
JADE算法
联合对角化
方差归一化
blind source separation
JADE algorithm
joint-diagnalizing
normalized square-mean