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Search - blind source separation by independent component a - List
[
matlab
]
tuxiangfenli
DL : 0
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.
Date
: 2025-07-11
Size
: 238kb
User
:
卡卡
[
matlab
]
mangfenli
DL : 0
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
Date
: 2025-07-11
Size
: 42kb
User
:
孙洋
[
AI-NN-PR
]
IVA
DL : 0
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.
Date
: 2025-07-11
Size
: 3kb
User
:
杨勇
[
matlab
]
ICAOK
DL : 0
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.
Date
: 2025-07-11
Size
: 2kb
User
:
nov
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