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: |
Size: 243712 |
Author:卡卡 |
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Description: 盲源信号分离,快速高效的独立成分分析方法 希望对大家有用-Blind Source Separation, rapid and highly efficient method of independent component analysis for all of us hope that useful Platform: |
Size: 43008 |
Author:孙洋 |
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Description: 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 way to avoid the permutation
problem by employing a multivariate source prior of the short-time
Fourier transform (STFT) components. Platform: |
Size: 3072 |
Author:杨勇 |
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Description: independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents by assuming that the subcomponents are non-Gaussian signals and that they are all statistically independent from each other. ICA is a special case of blind source separation. Platform: |
Size: 2048 |
Author:nov |
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