Description: 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 independent, we are looking for components
that can be best fitted in a tree structured graphical model. The TCA model
can be applied in any situation where the data can be assumed to have been
transformed by an unknown linear transformation. Platform: |
Size: 227818 |
Author:薛耀斌 |
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Description: 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 independent, we are looking for components
that can be best fitted in a tree structured graphical model. The TCA model
can be applied in any situation where the data can be assumed to have been
transformed by an unknown linear transformation. Platform: |
Size: 227328 |
Author:薛耀斌 |
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Description: 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 problem in view of factor analysis. In order to overcome the instability problem caused by performing independent component analysis, a DNA microarray data ensemble classifier based on selective independent component analysis is proposed. The reconstruction error of each gene is analyzed firstly and a part of independent components which contribute relatively small reconstruction errors are selected to reconstruct new samples. After that, several support vector machine base classifiers are trained simultaneously. Finally, the best base classifiers with high correct rates are selected to participate in the ensemble, using the majority voting method. Results on three publicly available microarray datasets show the feasibility and validity of the method proposed in this paper. Platform: |
Size: 1427456 |
Author:cumtgyy |
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Description: 擅 蔓：以人脸的表情识别为实验背景， 分析了在对人脸表情的识别过程中，单个独立分薰对识别率的影响，由此进一步总结了在表情识
别中如何更有效地选取独立子空间，以实现在不影响识别率的前提下，减少用于构成独立子空问所需的独立分量的个数。 独立成分分析；表情识别；独立子空间 -Good man: Face to face identification for the experimental background, the analysis of facial expressions in the identification process, a single smoked separate the impact of the recognition rate, thus further summarized in the expression recognition of how to more effectively select the independent sub-space in order to achieve the recognition rate does not affect the premise, for constituting a separate sub-reducing space required for the number of independent component. Independent component analysis expression recognition independent subspace Platform: |
Size: 272384 |
Author:金振东 |
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Description: 基于峭度极大的一种独立分量分析的算法，内有详细介绍每一步程序的作用和意义-Based on Kurtosis of a great independent component analysis algorithms, with detailed procedures for every step of the role and significance of Platform: |
Size: 1024 |
Author:高亚力 |
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Description: Matlab数据统计和分析的程序，包含下面所列的多种算法的
MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系
PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系
CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系
CollectAnaly 用最短距离算法的系统聚类对样本进行聚类
DistgshAnalysis 用Fisher两类判别法对样本进行分类
MainAnalysis 对样本进行主成分分析-Matlab data and analysis procedures, listed below contain a variety of algorithms MultiLineReg estimated by linear regression of a dependent variable with a number of independent variables of the linear relationship between PolyReg estimation using a polynomial regression with dependent variable a variable relationship between CompPoly2Reg using quadratic polynomial regression method is estimated that fully a dependent variable and the two since the relationship between variables with the shortest distance CollectAnaly hierarchical clustering algorithm for clustering of samples with Fisher two types of DistgshAnalysis discriminant method to classify samples on the samples MainAnalysis principal component analysis Platform: |
Size: 3072 |
Author:Wade |
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Description: 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 Platform: |
Size: 43008 |
Author:潘丽娜 |
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Description: 独立成分分析
目前，独立成分分析(ICA)这门新的数据处理技术已得到了国内外学术界的普遍认可和广泛关注，并在不同的研究和应用领域开始发挥重要作用。ICA这一专业术语及其内涵，“鸡尾酒会”问题、脑电信号分离、通信系统的盲分离等ICA的典型应用问题，以及ICA中有关峭度、不动点算法等一系列基本概念，已为国内许多从事数据处理的科研工作者所熟悉。但是，要了解独立成分分析背后所隐含的重要应用背景与数学理论基础；把握ICA的应用范围及相应的各种限制；了解如何应用独立成分分析的思路，从而针对具体的专业应用问题提出更为合理的分析方法，这些更深层次的内容，可能并非通过阅读几篇综述文献或相关专业文献，或学习、分析和使用MATLAB工具包中的那些现成算法就能很好地掌握的。然而，目前国内仍然没有一本比较全面而深入的中文教材来供那些对ICA感兴趣的初学者和不同专业领域的研究人员做参考。这种状况下，翻译出版一本比较权威的ICA教材就显得很有必要。本书的英文版是国际上第一本对ICA这门新技术进行全面介绍的综合性专著，作者Aapo Hyv妑inen，Juha Karhunen和Erikki Oja为ICA方法的建立做出过重要贡献，并且一直活跃在ICA的相关研究领域。本书的内容主要取材于作者自己的研究小组所开展的-Independent component analysis
Currently, independent component analysis (ICA) which door the new data-processing technology has been widely recognized by domestic and foreign academic and attention, and different studies and applications play an important role began. ICA and its connotation of the terminology, "cocktail party" problem, EEG separation, communication systems for blind separation of a typical application of ICA, and ICA in the kurtosis, fixed point algorithms and a series of fundamental concepts, has been Many engage in data processing for the domestic workers are familiar with the research. However, independent component analysis to understand the importance of applications on the underlying mathematical background and theory grasp the application of ICA and the corresponding limitations know how to apply the idea of independent component analysis to specific application of a more professional reasonable methods of analysis, these deeper levels of content, may not be Platform: |
Size: 6174720 |
Author:houhj |
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Description: 独立分量分析的程序，MATLAB环境下编写的，采用的是JADE方法，可用来进行盲源分离-Independent component analysis program, MATLAB environment prepared by the JADE method can be used for blind source separation Platform: |
Size: 7168 |
Author:wanglei |
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Description: 基础的独立成分分析matlab程序，目标函数为峭度，求最优解用的是随机梯度法，该ica算法为非对称方法，即逐个求出独立成分，以语音信号为例-Based on independent component analysis matlab program, the objective function is kurtosis, the optimal solution using a stochastic gradient method, the ica algorithm asymmetric method, which is obtained by one independent component to the speech signal as an example Platform: |
Size: 9698304 |
Author:zhuxy |
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Description: 独立成分分析程序，fastica，基于负熵的固定点迭代算法，信号由matlab生成-Independent component analysis program, fastica, negative entropy fixed point iterative algorithm based on the signal generated by matlab Platform: |
Size: 3072 |
Author:zhuxy |
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Description: 独立成分分析算法降低原始数据噪声，时间序列数据分析中的梅林变换工具，通过matlab代码，对HARQ系统的吞吐量分析，快速扩展随机生成树算法。- Independent component analysis algorithm reduces the raw data noise, Time series data analysis Mellin transform tool, By matlab code, HARQ throughput analysis of the system, Rapid expansion of random spanning tree algorithm. Platform: |
Size: 9216 |
Author:mrigwd |
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Description: 基于负熵最大的独立分量分析，通过matlab代码，是本科毕设的题目，插值与拟合，解方程，数据分析，基于互功率谱的时延估计。- Based on negative entropy largest independent component analysis, By matlab code, The title of the commercial is undergraduate course you Interpolation and fitting, solution of equations, data analysis, Based on the time delay estimation of power spectrum. Platform: |
Size: 7168 |
Author:adatcmqka |
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Description: 通过matlab代码，包括面积、周长、矩形度、伸长度，使用高阶累积量对MPSK信号进行调制识别，使用拉亚普诺夫指数的公式，用于图像处理的独立分量分析，包括AHP，因子分析，回归分析，聚类分析，双向PCS控制仿真。- By matlab code, Including the area, perimeter, rectangular, elongation, Using high-order cumulants of MPSK signal modulation recognition, Raya Punuo Fu index using the formula, Independent component analysis for image processing, Including AHP, factor analysis, regression analysis, cluster analysis, Two-way PCS control simulation. Platform: |
Size: 7168 |
Author:dxcmvck |
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Description: 最大信噪比的独立分量分析算法，用MATLAB实现的压缩传感，包括面积、周长、矩形度、伸长度，采用波束成形技术的BER计算，D-S证据理论数据融合，抑制载波型差分相位调制。-SNR largest independent component analysis algorithm, Using MATLAB compressed sensing, Including the area, perimeter, rectangular, elongation, By applying the beam forming technology of BER D-S evidence theory data fusion, Suppressed carrier type differential phase modulation. Platform: |
Size: 17408 |
Author:vyyuvhixh |
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Description: STM32 all the information produced by the MP3, Independent component analysis algorithm reduces the raw data noise, Gaussian white noise generator. Platform: |
Size: 124928 |
Author:董林亮
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Search - independent component by matlab