摘要
讨论了通信系统中常用的ICA算法,并用性能指数对算法的性能进行了评估。独立分量信号用亚高斯信号、超高斯信号描述,将若干个独立分量信号进行线性混合以此来模拟通信系统中的信号。实验结果显示JADE-ICA的算法性能指数最低,性能最好,是通信系统较好的选择。
This paper evaluates the performance of some major ICA algorithms, separation performance of ICA algorithms measure by performance index. Independent signals representing sub-Gaussian, gaussina and mix users are generated and then mixed linearly to simulate communication signals. The result of experiment show that the PI of JADE-ICA is the smallest and has best performance and is abetter choice for communication system.
出处
《微型机与应用》
2009年第23期73-75,共3页
Microcomputer & Its Applications
关键词
独立分量分析
盲信号
性能参数
independent component analysis
blind signal
performance index
