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一个ICA工具。This binary version of the runica() function of Makeig et al. contained
in the EEG/ICA Toolbox runs 12x faster than the Matlab version. It uses
the logistic infomax ICA algorithm of Bell and Sejnowski, with natural
gradient and extended
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用于脑电信号特征提取的InfoMax Algorithm Based on ICA;也可以稍作改动用于其他信息提取。-for feature extraction InfoMax Algorithm Based on ICA; Minor modifications can be used to extract other information.
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ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The
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informax ica算法,用于脑电信号识别-informax ica algorithm for signal recognition to make point
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compute the Independent component analysis (ICA)
with the algorithm of infomax
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基于Maximum likelihood准则的ICA算法 -the ICA algorithm based on Maximum likelihood
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用于脑电信号特征提取的InfoMax Algorithm Bassed on ICA;也能稍作改动用于其他信息提取。
-Feature extraction for EEG InfoMax Algorithm Bassed on ICA minor modifications for other information extraction.
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infomax ICA的算法实现,并在其中给出了一个infomax ICA的算法用于图像边缘检测的例子-infomax ICA algorithm, which gives an infomax ICA algorithm for image edge detection example
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一种在盲源分离中用到的互信息最大化Ica算法的matlab程序-Mutual information maximization Ica used a blind source separation algorithm matlab program
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用于脑电信号特征提取的infomax算法,基于infomax的ica算法的代码(Infomax algorithm for feature extraction of EEG signals, code based on infomax's ica algorithm)
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