摘要
盲源分离和盲信号提取是从观测信号中恢复源信号的有效方法,目前已成为信号处理领域的研究热点。介绍了盲信号处理的数学模型,给出盲源分离与盲信号提取的基本思想,阐述了各方法的原理、特点及性能,并对它们之间的区别与联系进行分析,最后指出盲源分离及盲信号提取的发展方向。
Blind source separation（BSS） and blind signal extraction（BSE） are efficient methods to recover source signals from observed signals,and they have become attractive researches in the field of signal processing. On the basis of introducing the blind signal processing model,this paper presented the concepts of BSS and BSE,also analyzed the principles and the characteristics of typical algorithms,at last pointed out new directions for the further development.
出处
《中国民航大学学报》
CAS
2007年第3期1-7,共7页
Journal of Civil Aviation University of China
基金
国家杰出青年科学基金资助项目(60325102)
关键词
盲源分离
盲信号提取
独立分量分析
非线性主分量分析
状态空间法
blind source separation
blind signal extraction
independent component analysis
nonlinear principal component analysis
state-space approach
