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这是利用MUsic和盲分离算法求解DOA的程序,This is the use of MUsic and blind source separation algorithm procedures DOA
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独立分量分析的matla b源代码。可用于盲信号处理和信号分离等等。,Independent Component Analysis matla b source code. Can be used in signal processing and blind signal separation and so on.
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盲源分离算法中，另一新的理论，非负矩阵分解（NMF）。数据包中有代码及GUI,Blind source separation algorithm, another new theory, non-negative matrix factorization (NMF). Packet has the code and GUI
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该程序是盲源分离算法中时域—频域分离算法，该算法应用范围广泛。-The procedure is blind source separation algorithm in time domain- the frequency domain separation algorithm, which a wide range of applications.
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基于四阶统计量的盲源分离算法（它是特征矩阵联合对角化的简称）在特定情况下具有普遍的适用性-Fourth-order statistics-based blind source separation algorithm (which is the characteristic matrix joint diagonalization short) in a particular case of universal applicability
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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
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基于四阶统计量的盲源分离算法，它是特征矩阵联合对角化的简称-Fourth-order statistics-based blind source separation algorithm, it is the characteristic matrix referred to as the joint diagonalization
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This is a matlab source code for Relative Newton Method for Blind Source Separation
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两个盲源分离程序 分别对应文章《Underdetermined Blind Source Separation using Sparse Representations》和《Underdetermined blind separation of delayed sound sources in the frequency domain》-Blind Source Separation
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BSS Blind source separation
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Blind Source separation toolbox.
just add path in MATLAB directory and use
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盲源分离算法的几篇文章应用
【基于独立分量分析的脑电中眼电伪迹消除】【基于负熵和智能优化的盲源分离方法】【基于小波消噪和盲源分离的信号奇异点检测方法】-Blind source separation algorithm applied 【several articles based on independent component analysis of EEG ocular artifact】 【intelligent optimization based on negative entr
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这是一个关于盲源分离独立成分分析方法，效果很好-Here is a blind source separation independent component analysis
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瞬时盲源分离 源代码 Instan eous blind source separation-Instantaneous blind source separation
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多通道盲源分离（基于极大化非高斯性的负熵算法）源代码-Multi-channel blind source separation (based on the maximization of the negative entropy of non-Gaussian algorithm) source code
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Using batch algorithm for kernel
blind source separation
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盲源分离算法，基于最大信噪比实现，包括源程序和算法说明-Blind source separation algorithm, based on the maximum signal to noise ratio to achieve, including source code and algorithm descr iption
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工具箱描述了基于神经网络的变速率非线性盲源分离ICA算法研究-Toolbox describes the nonlinear blind source separation based on neural network of variable rate ICA algorithm research
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用MATLAB实现d2d端的信号盲分离，分离出干扰信号与有用信号-MATLAB d2d the blind source separation, separate the disturbance signal and useful signal
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盲源分离(BSS: Blind Source Separation)，又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号(观测信号)中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道的混合矩阵。(Blind source separation (BSS: Blind Source Separation), also known as blind signal separation, re
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