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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 ICA extensions. It was programmed for unsupervised usage by Scott Makeig at CNL, Salk Institute, La Jolla CA. Sigurd Enghoff translated it into C++ code and compiled it for multiple platforms. J-R Duann has improved the PCA dimension-reduction and has compiled the linux and free_bsd versions.
Update : 2008-10-13 Size : 132.84kb Publisher : aaaaaaa

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.
Update : 2008-10-13 Size : 212.71kb Publisher : wyh

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 number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.-ICA algorithm: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 number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
Update : 2008-10-13 Size : 550.66kb Publisher : 陈互

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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.
Update : 2025-02-17 Size : 212kb Publisher : wyh

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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 number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.-ICA algorithm: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 number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
Update : 2025-02-17 Size : 550kb Publisher : 陈互

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infomax 算法,盲信号处理中很有帮助-INFOMAX algorithm, blind signal processing helpful
Update : 2025-02-17 Size : 3kb Publisher : 黄炳国

一种新的ica算法,主要是应用与盲分离算法,大家可以-ica a new algorithm, and are primarily used to blind separation algorithm, we can s
Update : 2025-02-17 Size : 354kb Publisher : sunz

infomax的ICA算法的扩展程序源码-Infomax ICA algorithm for the expansion of the program source
Update : 2025-02-17 Size : 21kb Publisher : 林峰

基于Informax判据的ICA算法,属于独立分量分析的一种。-Informax the ICA-based criterion algorithm, belonging to an independent component analysis.
Update : 2025-02-17 Size : 7kb Publisher : 深蓝色

informax ica算法,用于脑电信号识别-informax ica algorithm for signal recognition to make point
Update : 2025-02-17 Size : 2kb Publisher : 曹磊

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compute the Independent component analysis (ICA) with the algorithm of infomax
Update : 2025-02-17 Size : 2kb Publisher : sak

基于Maximum likelihood准则的ICA算法 -the ICA algorithm based on Maximum likelihood
Update : 2025-02-17 Size : 7kb Publisher : zhou

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.
Update : 2025-02-17 Size : 213kb Publisher : mikeche

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
Update : 2025-02-17 Size : 1.11mb Publisher : 魏交统

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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
Update : 2025-02-17 Size : 1kb Publisher : wangmeng

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)
Update : 2019-03-31 Size : 16kb Publisher : 淡然smile
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