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FASTICA - Fast Independent Component Analysis
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％ FastICA for Matlab 7.x and 6.x
％ Version 2.5, October 19 2005
％ Copyright (c) Hugo G鋠ert, Jarmo Hurri, Jaakko S鋜el� and Aapo Hyv鋜inen.
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％ FASTICA(mixedsig) estimates the independent
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The tca package is a Matlab program that implements the tree-dependent
component analysis (TCA) algorithms that extends the independent
component analysis (ICA), where instead of looking for a linear transform
that makes the data components in
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The kernel-ica package is a Matlab program that implements the Kernel
ICA algorithm for independent component analysis (ICA). The Kernel ICA
algorithm is based on the minimization of a contrast function based on
kernel ideas. A contrast functio
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这是一个关于盲源分离独立成分分析方法（ICA）的软件包，给大家分享一下！-This is a share software package about blind signal separation (BSS) using independent component analysis(ICA).
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FastICA算法,使用matlab语言,是非常好的独立成分分析工具.-Fast algorithm, using Matlab language, is a very good independent component analysis tools.
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本文提出一种用于独立成份分析(ICA)的特征选择滤波方案用于改善ICA算法对关键独立成份(SOI)的分离和提取,关键独立成份在其信号样本数据的空间分布上具有一定特征. 本文以平滑滤波为例,表明加入此类特征滤波的ICA算法可以改善对于视觉功能区等平滑图象信号的提取. 因此, 这种特征滤波技术在估计具有平滑特性的脑功能成像方面具有潜在的应用价值.-for Independent component analysis (ICA) feature selection filtering program
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本文提出一种基于增广拉格朗日法的非线性约束优化算法用于独立成份分析(ICA), 仿真试验结果表明此方法可以有效的用于独立成份的分离. -This paper presents a broad-based increase Lagrange method of nonlinear constrained optimization algorithm for the independent component analysis (ICA), the simulation results show t
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FastICA
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用于盲信号分离的独立分量分析和主元分量分解以及独立分量分解的代码,For Blind Signal Separation of independent component analysis and principal component decomposition and independent component decomposition of the code
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非线性PCA算法matlab程序段，完成独立分量分析的主分量分解,Non-linear PCA algorithm matlab program segment, the completion of independent component analysis of the principal component decomposition
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FastICA的matlat软件包，独立分量分析(ICA)在模式识别（如人脸识别），信号分离等领域有着广泛的应用。
,The FastICA package for MATLAB
The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit.
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独立分量分析的matla b源代码。可用于盲信号处理和信号分离等等。,Independent Component Analysis matla b source code. Can be used in signal processing and blind signal separation and so on.
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独立分量分析 方法 压缩 与 解压 图像。 MATLAB 实现，有测试平台。,Independent Component Analysis image compression and decompression. MATLAB realization of a test platform.
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fastICA2.5 ICA算法，使用快速独立分量分析（ICA）算法进行特征提取-fastICA2.5 ICA algorithm, the use of fast independent component analysis (ICA) feature extraction algorithm
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用于人脸识别的模糊独立成分分析+主成分分析，用模糊支持向量机进行的分类。,Fuzzy Face Recognition for independent component analysis+ principal component analysis, using fuzzy support vector machine classification.
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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.
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独立分量分析的算法，用于分离出独立分量，用于图像降维，特征提取-Independent component analysis algorithms, used to separate out the independent component for the image dimensionality reduction, feature extraction
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基于MATLAB的fastica算法的实现,有完整源代码。这是一个关于盲源分离独立成分分析方法fastICA的软件包，给大家分享一下，完整的matlab代码。-MATLAB-based fastica algorithm, a complete source code. This is a blind source separation independent component analysis (ICA) of the package, to share with you, complete
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Matlab环境下的基于独立分量分析（ICA）算法，信号处理，非常重要！--Matlab environment based on the independent component analysis (ICA) algorithm, signal disposal , very important!
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用matlab实现的最大化负熵的独立分量分析方法，作了正交化处理，可以同时分离出所有的独立分量（无噪声条件下）-Using matlab to achieve the maximization of the negentropy method of independent component analysis, orthogonal made of processing, can be isolated from all of the independent component (no nois
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