Description: 我最近写的一篇论文的源码，主要是对带参考信号的 ICA算法的扩展，多参考信号的ICA固定点算法。-I recently wrote a paper source, mainly for reference signal with the ICA algorithm expansion more reference signal ICA fixed-point algorithms. Platform: |
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Author:武建 |
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Description: 通过对独立分量分析算法的研究，介绍了该算法的基本模型及目前应用最广泛的快速定点ICA算法的数学原理．通过仿真试验结果表明，用该算法对随机混合的3幅图像进行盲分离，取得了理想的效果．-By independent component analysis algorithm, introduced the algorithm for the basic model and is currently the most widely used fast fixed-point ICA algorithm of mathematical principles. Through the simulation test results show that the algorithm to a random mixture of three images in blind source separation, and achieved the desired results. Platform: |
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Author:卡卡 |
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Description: 基于不动点的快速ica算法
该算法能有效地分离独立分量-Based on fixed-point algorithm for fast ica algorithm can effectively separate the independent components Platform: |
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Author:leijiangli |
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Description: 在诸多ICA算法中，固定点算法 (也称FastlCA)以其收敛速度快、分离效果好被广泛应用于信号处理领域。该算法能很好地从观测信号中估计出相互统计独立的、被未知因素混合的原始信号。-In many ICA algorithms, fixed-point algorithm (also known as FastlCA) for its fast convergence and good separation effect is widely used signal processing. The algorithm can estimate from the observed signals statistically independent each other, unknown factors are a mixture of the original signal. Platform: |
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Author:xiaojun wang |
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Description: 在诸多ICA算法中，固定点算法 (也称FastlCA)以其收敛速度快、分离效果好被广泛应用于信号处理领域。该算法能很好地从观测信号中估计出相互统计独立的、被未知因素混合的原始信号。-In many ICA algorithms, fixed-point algorithm (also known as FastlCA) for its fast convergence and good separation effect is widely used signal processing. The algorithm can estimate from the observed signals statistically independent each other, unknown factors are a mixture of the original signal. Platform: |
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Author:xiaojun wang |
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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: |
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Author:houhj |
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Search - fixed point in ICa