快速ICA算法源码，有兴趣的读者可以转换成C-fast algorithm source, interested readers will be converted into C

基于ICA的独立分量分析，目标函数是负熵，快速不动点算法-ICA-based independent component analysis, the objective function is negative entropy, fast fixed-point algorithm

基于独立盲源分离算法，主要适用与语音信号的分离与识别-Based on fast independent blind source separation algorithm procedures

代码很全面，快速ICA算法在很多领域有着广泛的用途，尤其信号处理和图像处理方面。另外，在生物医疗领域等等也有涉及。-The code is very comprehensive, fast ICA algorithm is widely used in many fields, especially in signal processing and image processing. In addition, in biology and medical applications is also

ICA快速算法，提高分类效果 滤波 源信号所含的高斯白噪声越多，分离后得到的信号与源信号相比误差越大，效果越差；所含高斯白噪声越少，分离效果越好-Fast ICA algorithm to improve the classification results more contained in the source signal filtering Gaussian white noise, the signal obtained with the source signal separatio