搜索资源列表
kpca
- KPCA是一种非线性的盲源分离方法，很好用，推荐大家下载！-KPCA is a nonlinear blind source separation methods, very good, and recommend everyone to download!
PAST2
- 基于投影逼近的子空间跟踪（PAST）方法，用于自适应盲信号分离-Based on the projection approximation subspace tracking (PAST) method for adaptive blind signal separation
jade2
- JAD矩阵联合对角化，此数据包包括各种矩阵联合对角化的方法，JADE特征矩阵联合对角化，盲源分离方法的经典方法。有Cardoso开发-JAD，采用matlab编程。-JAD matrix joint diagonalization, this data package includes a variety of matrix joint diagonalization method, JADE characteristic matrix joint diagonalization, blind
ICA-algorithm-and-articles
- ICA(盲源分离)的一些MATLAB源代码和一些文章，有对带参考信号的 ICA算法的扩展和盲信号分离的matlab仿真-matlab simulation for blind source separation
FastICA_21
- 一个很好的盲源分离matlab程序，采用了FastICA算法，计算速度快，说用方便-Matlab program a good blind source separation using FastICA algorithm, calculation speed, said with convenience
a_bad_geek-FastICA-master
- fastica算法，信号盲分离，专用于多通道混合数据的分离(FastICA algorithm, blind separation of signals, for the separation of multichannel mixed data)