摘要
综述了独立分量分析(ICA)问题的模型、原理,以及定义在基本ICA问题上的各种算法,包括信息最大化in-fom ax算法、负熵最大化法、最大似然法等,并对各算法性能作了比较。并介绍了可获得的ICA算法系统fastica和oolabss及其运行平台,说明了ICA在地理与环境问题中的应用。
This paper summarizes the principle and the model of Independent Component Analysis , and various algorithms based on the basic ICA problem ,including the HJ neural network ,the infomax and maximum negentropy algorithm. The performances of the these methods are compared, the gainable system of ICA algorithm on the web is introduced,the applications of ICA in the Geographical and Environmental fields are discribed and explained.
出处
《重庆师范大学学报（自然科学版）》
CAS
2005年第4期16-20,共5页
Journal of Chongqing Normal University:Natural Science
关键词
盲信号分离
ICA
负熵
盲反褶积
污染源
blind signal separate
ICA
negentropy
blind deconvolution
polluting source
