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这是利用特征值分解的盲源分离的源函数文件，可以直接调用-This is the eigenvalue decomposition of Blind Source Separation of source function, can be called directly
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这是一个盲源分离的应用程序，其中还包括做实验用的各种数据-This is a blind source separation applications, which also includes an experiment with the various data
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快速ICA算法，在盲源分离中有很大的用处。-fast algorithm, the blind source separation is very useful.
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基于盲源分离的scilab程序，可编译成matlab，使用时声音信号以及路径自行修改-Blind Source Separation based on the SciLab procedures, which compiled Matlab. the use of voice signal and the path to amend its own
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matlab盲源分离informax程序-Matlab Blind Source Separation procedures informax
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核ICA的工具箱，用于独立分分量分析，盲源信号分离（BSS）-nuclear ICA toolbox for independent sub-component analysis, Blind Source Separation (BSS)
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联合对角化方法，用于对多个矩阵同时进行联合对角化，主要用处是盲源分离。-joint diagonalization method for the same time on a number of joint matrix diagonalization, the main use is Blind Source Separation.
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自己编的，基于自然梯度的盲源分离算法，如果想对自然梯度有所了解，可以参考Amari的经典文章。网络上一搜就行。-own series, based on the natural gradient algorithm blind source separation, if you want to understand the natural gradient. Amari can refer to the classic article. Networks found on a trip.
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互信息盲源分离，这基于这么一个事实，混合信号的互信息最小时，意味着信号独立。可以参考有关书籍。在google里面，搜索mutual information blind source separation.即可搜到文章。-mutual information Blind Source Separation, such a fact-based, mixed-signal information in the most hours of each other, mean signal indepen
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卷积盲源分离，采用matlab编程，带有说明文档。-convolution Blind Source Separation using Matlab programming, with documentation.
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独立分量分析（ICA）算法编码，盲源信号分离（声音信号的分离）-Independent component analysis (ICA) algorithm coding, Blind Source Separation (voice signal separation)
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提出了一种新的自适应盲源分离算法。在无噪音实时两源两传感器的情况下, 一旦观
测信号被白化, 只需要辨识一个特定的旋转矩阵就可以完成盲源分离, 并给出了能表征该旋转矩阵的角的自适应估计器。仿真结果表明, 当满足源峭度和不为零的条件时, 这种方法是一种稳定的和有效的分离算法。-proposes a new adaptive algorithm for blind source separation. In the absence of real-time two noise sources t
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on time domain blind source separation implementation
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This file implements the Multi User Kurtosis Algorithm for Blind Source Separation (see [1] for more details about the method).
The zip file contains:
- the one_shot.m scr ipt file
- the MUK_algorithm.m function
The one_shot.m file
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In frequency-domain blind source separation (BSS) for speech with independent component analysis (ICA), a practical parametric Pearson distribution system is used to model the distribution of frequency-domain source signals.-In frequency-domain blin
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张丽清教授的盲源分离讲义，一个会议下载的。有参考价值-Blind Source Separation of Pro. ZHANG liqing
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提出一种新的盲分离标准，基于这种标准构建横向反馈的线性前馈神经网路，并给出理论分析与实验结果-We presents a new necessary and sufficient condition for
the blind separation of sources having non-zero kurtosis,
from their linear mixtures. It is shown here that a new
blind separation criterion
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《基于白化旋转技术的盲分离算法文章及程序》自己写的针对文章的仿真，基本符合要求还有很多不足-blind source separation
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完成欠定盲语音分离，源信号为3路输入，有2路麦克风，用c实现。-Underdetermined blind speech separation is completed, the source signal is 3 inputs, 2 mic, with c achieve.
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直接运行Demo文件即可，本算法案例是两源信号卷积混合，基于同一信号相邻频点能量相关的方法对频域盲源分离信号进行排序(The demo file can be run directly. The case of this algorithm is the convolution mixing of two source signals. The Blind Source Separation (BSS) signals in frequency domain are sorted based o
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