摘要
介绍了独立分量分析(ICA)的模型定义、数学原理等基本问题。在分析ICA基础上引入了固定点算法(FastICA)。FastICA算法收敛速度快,迭代次数由传统算法的2000次减少到3～10次。实验表明,FsatICA具有良好的盲源分离性能和鲁棒性。
The fundamental problems of ICA（Independent Component Analysis） about the model definition and mathematical principles are given. Based on analysis of the existing algorithms, the FastICA is introduced. The convergence speed of FastICA is fast and the times of iterations is reduced from about 2 000 to 3-10 using FastICA. Finally, the experimental results show that the FastICA has good performance for blind source separation and robustness.
出处
《电声技术》
2007年第8期47-49,共3页
Audio Engineering
关键词
负熵
独立成分分析
定点ICA
快速定点算法
对照函数
negentropy
independent component analysis
FastICA
fast fixed-point algorithm
contrast function
