摘要
盲源信号分离是信号处理和神经网络领域的研究热点问题。介绍了盲源信号分离的概念、分类和基本数学模型;探讨了盲源分离中源信号和信道的假设条件,目标函数的建立,代价函数的优化,以及一般盲源分离算法实现步骤。给出了几种常见的目标函数和算法,并分析了它们的特点。
Blind source separation is becoming a hot topic in signal processing and neural network field. The mathematical basic model and the conception and the sort of blind source separation are introduced. The supposed condition of the blind source signals and channels , the construction of goal function and the optimization of cost function , the process of blind source signal separation al- gorithm is discussed in the paper. Some popular goal functions and algorithms are given in the paper, their characteristic are also anlylized.
出处
《无线通信技术》
2009年第4期10-14,共5页
Wireless Communication Technology
关键词
盲源信号分离
独立分量分析
目标函数
假设条件
blind source separation （BSS）
independent component analysis （ICA）
goal function
presume condition
