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MATLAB实现信号的盲源分离~fastICA方法~源信号与混合信号个数均为2~-MATLAB for signal blind source separation method ~ ~ fastICA number of source signals and mixed signals are 2 ~
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可以实现粒子群算法与盲源分离算法的结合，比较方便。源信号可以随便替换-PSO algorithm can be achieved with the combination of blind source separation algorithms, more convenient. Source signal can be easily replaced
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Principal Component Analysis (PCA) is the general name for a technique which uses sophisticated
underlying mathematical principles to transforms a number of possibly correlated
variables into a smaller number of variables called principal compone
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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 wa
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基于比率矩阵聚类的欠定盲分离算法_陈晓军.pdf-Based on the ratio of matrix clustering underdetermined blind source separation algorithm _ Chen Xiaojun. Pdf
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白化处理的自然梯度盲源分离统一算法_刘鑫-Natural gradient blind source separation whitening unified algorithm _ Liu Xin
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压缩感知原理在盲信号分离中的应用.PDF-The Application of Compressed Sensing in Blind Source Separation
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经典的fastica盲源分离算法，通过白化混合信号，即球化，经过迭代，实现信号的有效分离-Fastica classic blind source separation algorithm, albino mixed-signal, namely ball through iterations to achieve effective separation of signals
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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 othe
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首先将四个仿真信号混合，得到4组仿真信号，采用FASTICA算法进行盲源分离，得到源信号。-First four mixed signal simulation, emulation signals obtained four groups, using FASTICA blind source separation algorithm to obtain the source signal.
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利用独立成分分析ICA实现信号的盲源分离-Use ICA to implement Blind Source Separation
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语音信号盲源分离算法--fastica算法源程序，基于matlab开发环境-Speech signal blind source separation algorithm- fastica algorithm source code, matlab development environment based on
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Blind Source Separation with JADE algorithm
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SCA的代码，还可以吧，本人觉得
SCA的代码，还可以吧，本人觉得 SCA的代码，还可以吧，本人觉得-blind source separation blind source separationblind source separationblind source separationblind source separationblind source separation
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利用盲源分离方法。在滚动轴承复合故障中的应用。-The use of blind source separation methods. Application of the rolling bearing compound fault.
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针对滚动轴承复合故障信号特征难以分离的问题， 提出将双树复小波变换和独立分量分析( ICA) 结合的故障诊断方
法 该方法首先将非平稳的故障信号通过双树复小波变换分解为若干不同频带的分量 由于各个分量存在一定的频率混叠， 对
故障信号特征提取有很大的干扰， 进而引入 ICA 对各个分量所组成的混合信号进行盲源分离， 从而尽可能消除频率混叠 最后
对从混合信号中分离出来的独立分量信号进行希尔伯特包络解调， 即可实现对复合故障特征信息的分离和故障识别-Aiming at the diff
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labview的一些功能界面,包括支持向量机-Blind source separation
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欠定盲源分离的的程序，对混合信号实现分离，帮助很大-Underdetermined blind source separation of program, the mixed signal separation, are of great help
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信号处理领域盲源分离的重要算法，基于负熵的固定点算法，也叫Fastica算法，是盲源分离里采用最多的算法。-Important field of signal processing algorithms blind source separation, negative entropy-based fixed-point algorithm, also called Fastica algorithm, blind source separation in the most used algor
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欠定盲源分离的程序，分离效果很好，适合学习。-Underdetermined blind source separation process, separation effect is very good, suitable for learning.
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