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cardoso的独立分量分析（ICA）的特征矩阵联合近似对角化（JADE）方法。-Cardoso independent component analysis (ICA) features similar to the joint matrix diagonalization (JADE ) method.
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用于盲信号分离的独立分量分析ICA算法，运行于Matlab-for Blind Signal Separation of independent component analysis ICA algorithm running in Matlab
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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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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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matlab编写的独立成分分析程序，可用于实现盲源分离-matlab prepared by the independent component analysis program can be used to achieve blind source separation
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从因子分析的角度出发解决基因表达谱分析问题。为解决独立成分分析方法在求解过程中的不稳定性，提出一种基于选择性独立成分分析的DNA微阵列数据集成分类器。首先对基因表达水平的重构误差进行分析，选择部分重构误差较小的独立成分进行样本重构，然后基于重构后的样本同时训练多个支持向量机基分类器，最后选择部分分类正确率较高的基分类器进行最大投票以得到最终结果。在3个常用测试集上验证了本文设计方法的有效性。-This paper tries to deal with gene expression proble
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核独立成分分析的相关文章，非常经典的文章，适合初学者-matlab kernel independent component analysis,with demostration,very useful to PR lover
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This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full descr iption and validation of the method is provided in the paper, "Autom
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基于负熵的ICA算法，独立成分分析；负熵；盲信号分离；固定点-Negative entropy based ICA algorithm, independent component analysis negative entropy blind signal separation fixed point
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独立分量分析法结合神经网络用于股票价格预测-Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
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ICA独立成分分析是近年研究的主流，此资料室介绍ICA的基础资料-ICA Independent component analysis of the mainstream in recent years, the basis of this information Reference Room descr iption ICA
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非线性独立分量分析(ICA)源码,主要是用于非线性ICA进行盲源分离算法的函数-Nonlinear independent component analysis (ICA) source, mainly for non-linear ICA for blind source separation algorithm function
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独立成分分析(Independent Compondent Analysis，ICA)的一个非常好的示例，可以直接拿来用-Independent Component Analysis (Independent Compondent Analysis, ICA) in a very good example, can be directly used
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快速定点独立分量分析算法编码能有效提取心电或脑电信号-Fast fixed-point independent component analysis algorithm can effectively extract the encoded ECG or EEG
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独立分量分析旨在对独立信源产生且经过未知混合的观测信号进行盲分离，从而重现原独立信源，其应用主要集中在盲源分离和特征提取两方面-Independent component analysis is designed to blind separation and after the unknown mixture of observed signals, which reproduce the original independent source independent source, its
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ICA独立成分分析对信号进行特征提取，盲源分析保留有用信号通道-ICA independent component analysis for signal feature extraction and blind source analysis to preserve the desired signal channel
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齿轮箱早期的故障信号往往十分微弱,信噪比低,这大大限制了已有诊断方法在早期诊断中的应用,因此如何获取真实的振动信号是提高齿轮箱早期故障诊断质量的关键,独立分量分析(ICA)为此提供了一种新的思路。文
中研究了ICA在齿轮箱故障早期诊断中的应用,首先分析了齿轮箱的混合振动信号模型,然后针对具体的轴承故障进行了实验,并使用快速ICA算法分离出轴承的振动信号-The early gearbox fault signal is often very weak, low signal-to-noise
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基于粒子群算法改进算法的独立分量分析算法研究-Independent component analysis algorithm based particle swarm algorithm to improve the algorithm
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本程序是基于ICA（独立成分分析）方法进行人脸识别，人脸库已经给出，有需要的童靴自行下载-This procedure is based on ICA (independent component analysis) method for face recognition, face database has been given, there is a need to download children' s boots
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独立向量分析（IVA）是对独立成分分析（ICA）算法的一种扩展，将ICA中的单变量成分扩展为多维变量成分，可有效避免卷积盲源分离过程中的排序模糊性问题。-Independent vector analysis (IVA), a multivariate extension of independent component analysis, tackles the convolutedly mixed blind
source separation (BSS) problem in a wa
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