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FastICA_24
- 改进的独立分量分析,在以往的独立分量分析中加入核函数，避免其缺陷，更好的分离信号。-Improvement of independent component analysis (ica), in the past the independent component analysis (ica) adding kernel function, avoid its defects, better separated signal.
fastICA_1.1-11
- 经典的fast ICA程序，用于盲信号的分离,希望能够对大家有帮助！-Classic fast ICA program for the separation of the spread, hoping to help!
NMFLABIP_ver1.2
- n this group, we have three different algorithms. They are able to process in sequential and simultaneous mode. More detail in choosing reference signals could be found in the Tips section. The extracted signals have available forms of references. It
work
- 对三路信号进行分离，基于峭度和基于负熵的独立分量分析（ICA）-The three way signal separation, based on the kurtosis and independent component analysis (ICA) based on negative entropy
FastICA_25
- 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
- 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
Desktop
- 使用ICA算法对于噪声信号进行盲源分离，有例子说明(Blind Source Separation of Noise Signals)