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Description: Bell and Sejnowski 在1996提出的ica算法，用matlab实现的，但版本较旧，需要做修改才能用于新版本。-Bell and Sejnowski 1996 in the ica algorithm, using Matlab to achieve, but the older version needs to be done in order for the new revised version.
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Author: wyh |
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Description: Bell and Sejnowski 在1996提出的ica算法，用matlab实现的，但版本较旧，需要做修改才能用于新版本。-Bell and Sejnowski 1996 in the ica algorithm, using Matlab to achieve, but the older version needs to be done in order for the new revised version.
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Author: wyh |
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Description: 这是一个基于峰度的ICA算法，里面的ica_kurt.m是主文件，输入为待处理的观察信号，要求是矩阵形式，行数为所包含的分量数，列数为每一个分量包含的抽样点数。-This is a peak on the ICA algorithm inside ica_kurt.m is the main document, pending input signal observation demands matrix form, the number of firms covered by the weight of several listed a number for each component contained in the sample points.
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Author: 王斌 |
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Description: The ICA/BSS algorithms are pure mathematical formulas, powerful, but rather mechanical procedures: There is not very much left for the user to do after the machinery has been optimally implemented. The successful and efficient use of the ICALAB strongly depends on a priori knowledge, common sense and appropriate use of the preprocessing and postprocessing tools. In other words, it is preprocessing of data and postprocessing of models where expertise is truly ne-Instruction :
The ICA/BSS algorithms are pure mathematical formulas, powerful, but rather mechanical procedures: There is not very much left for the user to do after the machinery has been optimally implemented. The successful and efficient use of the ICALAB strongly depends on a priori knowledge, common sense and appropriate use of the preprocessing and postprocessing tools. In other words, it is preprocessing of data and postprocessing of models where expertise is truly needed.
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Author: 孙占全 |
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Description: 盲源分析程序，是在MATLAB环境下编写的。软件包中不仅提供了简单易用的人机界面环境，而且还提供了一些基本的函数供用户根据自己的需要进行开发。-blind analysis procedures, in MATLAB environment prepared. The package not only provides a simple user-friendly man-machine interface environment, but also provides some basic functions for users according to their own needs for development.
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Author: 王晓 |
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Description: ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital, Denmark, that consists of fMRI scannings of humans. Another provided by the EU sponsored MAPAWAMO project from fMRI scannings of monkeys. In the demo comparison between icaMS, icaML, icaMF, icaMF (positive sources) and PCA can be made. More detailes can found in [2].
-ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital, Denmark, that consists of fMRI scannings of humans. Another provided by the EU sponsored MAPAWAMO project from fMRI scannings of monkeys. In the demo comparison between icaMS, icaML, icaMF, icaMF (positive sources) and PCA can be made. More detailes can found in [2].
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Author: 海心 |
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Description: ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
-ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
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Author: 海心 |
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Description: 又一个外国人写的程序，请大家鉴定，还是ica方面的程序，挺好的-also a foreigner to write the procedures, please identification, or the procedures ica, in very good shape;
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Author: sunz |
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Description: Ica的matlab算法，经过实验验证了，希望对大家有用-Ica the Matlab algorithms, after experimental verification in the hope that it may be useful to
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Author: 周敬 |
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Description: 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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Author: Frankie |
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Description: 关于人脸识别中的ICA算法，用MATLAB实现-on the ICA face recognition algorithm in MATLAB
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Size: 1024 |
Author: southlife |
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Description: 数字图像质量评价量：计算数字图像在基于像素统计差异、基于相似性度量统计差异、基于频谱统计差异以及基于人眼视觉系统统计差异等的图像质量评价量-Digital image quality evaluation of the volume: calculating the number of images in the pixel-based statistical difference, similarity measure based on statistical differences, based on statistical difference spectrum, as well as human visual system based on statistical differences in image quality evaluation of the volume of
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Author: 詹双环 |
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Description: D-S.Kim, Y.S.Lee, W.H.Kwon, and H.S.Park, "Maximum Allowable Delay Bounds in Networked Control Systems", Control Engineering Practice (Elsvier Science) (Simulation Example - Matlab Code), PP.1301-1313, Vol.11, Issue 11, December, 2003-D-S.Kim, Y.S.Lee, W.H.Kwon, and H.S.Park, "Maximum Allowable Delay Bounds in Networked Control Systems", Control Engineering Practice (Elsvier Science) (Simulation Example- Matlab Code), PP.1301-1313, Vol.11, Issue 11, December, 2003
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Author: 田之秋 |
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Description: FAST ICA 算法用于ICA实验，可用于人脸识别等领域-FAST ICA algorithm for ICA experiments, can be used in areas such as face recognition
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Author: bai |
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Description: 盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。-Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.
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Author: msw |
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Description: I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the separation between data and noise. -I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the separation between data and noise.
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Author: sunny |
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Description: 比较了PCA和ICA在心电提取方面的性能-Comparison of the PCA and ICA in mind aspects of the performance of electric extraction
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Author: ma ming |
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Description: matlab中ICA独立分量分析全部代码免费下载-Independent component analysis ICA in matlab code free download full
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Author: 庄伟 |
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Description: 受帝国主义殖民竞争机制的启发，Atashpaz-Gargari和Lucas于2007年提出了一种新的智能优化算法—帝国竞争算法 (ICA)。与GA, PSO, ABC等受生物行为启发的群智能算法不同，ICA受社会行为启发，通过摸拟殖民地同化机制和帝国竞争机制而形成的一种优化方法。ICA也是一种基于群体的优化方法，其解空间由称为国家的个体组成。ICA将国家分为几个子群，称为帝国。在每个帝国内，ICA通过同化机制使非最优的国家(殖民地)向最优国家(帝国主义国家)靠近，该过程类似于PSO。帝国竞争机制是ICA的关键，ICA通过帝国竞争机制将最弱帝国中的一个或多个殖民地移动到其他帝国，使帝国之间可以进行信息交互。(Inspired by the imperialist colonial competition mechanism, Atashpaz-Gargari and Lucas proposed a new intelligent optimization algorithm, Empire competition algorithm (ICA), in 2007. With GA, PSO, ABC and other biological behavior of swarm intelligence algorithm inspired by social behavior, ICA heuristic, an optimization method is formed by simulation of colonial assimilation mechanism and competition mechanism of the empire. ICA is also a swarm based optimization approach whose solution space consists of individuals called states. ICA divides the country into several subgroups, called empires. Within each Empire, ICA moves the non optimal country (colony) to the best country (the imperialist state) through the assimilation mechanism, which is similar to PSO. Imperial competition is the key to ICA, and ICA moves one or more colonies of the weakest Empire to other empires through imperial competition, allowing the Empire to interact with each other.)
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Author: xzfff
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Description: 在matlab中使用竞争算法实现独立分量分析(A structured implementation of Imperialist Competitive Algorithm (ICA) in MATLAB)
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Author: SONAH~
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