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盲信号分离及其应用，张贤达教授的作品。格式为PDF形式的幻灯片。对盲分离初学者有用。-Blind Source Separation with Applications
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本程序通过优化ICA算法实现了混合图像的盲源分离，分离效果优于一般ICA算法-This procedure optimized ICA algorithm is a mixed picture of blind source separation, separation is better than the general ICA algorithm is
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自己编写的，盲源分离算法仿真分析系统（图形界面）又名：独立分量分析；算法种类：自然梯度算法、投影自然梯度算法、FastICA、SOBI、NJD非正交联合对角化。信号种类：
MASK：2ASK，4ASK，8ASK
MPSK：2PSK、4PSK、8PSK
MFSK：2FSK、4FSK、8FSK 分连续相位CPFSK和离散相位DPFSK两种
MQAM：16QAM、32QAM、64QAM、128QAM
OFDM：子载波数可任意选定，映射方式有BPSK、QPSK、4QAM、16QAM、
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基于峭度的盲源开关算法对信号进行分离，实现了良好的分离效果-Kurtosis-based switch algorithm for blind source separation of signals to achieve a good separation effect
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基于最大信噪比的盲源分离算法，可以用来和其它算法进行比较-Based on the maximum signal to noise ratio Blind source separation algorithm, and other algorithms can be used to compare
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on of method for blind source separation implementation for instantaneous mixture
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FastICA是应用非常广泛的盲分离算法，上传一个 其工具箱的使用文档，希望对初学者有帮助。-FastICA is a very broad application of blind source separation algorithm is used to upload a document of their toolbox, hope to be helpful for beginners.
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不错的盲源分离工具箱，实现对声源的分离,包含多个子程序-a nice toolbox of blind source separation used to separate multiple sources
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对接收到得信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中比较重要的一种变步长自适应盲源分离算法——EASI-Butt had been received too signal separation is the signal processing is often used, but do not know to accept in full prior knowledge of the signal to
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对接收信号进行分离是信号处理过程中经常用到的，然而在完全不知道接受信号先验知识的情况下进行分离就是所谓的盲源分离，此程序就是重多盲源分离算法中重要的一种快速独立分量分析盲源分离算法——FASTICA-Separation of the received signal is the signal processing is often used, but do not know to accept in full prior knowledge of the signal to separate
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一种高效快速的线性混合新河盲分离ICA算法，提供了6个源信号以供参考，分离效果很好-An efficient linear mixed fast ICA algorithm for blind source separation New River, providing 6 source signal for reference, a good separation effect
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基于最大信噪比的盲源分离算法，源信号为混沌信号。-Based on the maximum signal to noise ratio Blind source separation algorithm, the source signal for the chaotic signal.
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基于峭度的盲源分离算法，包含画图子程序。-Based on Kurtosis algorithm for blind source separation, including the drawing subroutine.
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fastica matlab工具箱，实现ica盲源分离等操作-fastica matlab toolbox to achieve blind source separation and other operations ica
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利用二阶统计量(不同时延相关矩阵)的非平稳性和信号时序结构特征，能简单估计出线性瞬时混合的盲源信号。但随时延 增-aracteristics of the signal, which difficult to ensure the performance of algorithm. Analysis of the average characteristics of matrix, and the improved algorithm for blind source separation ba
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TFBSS是一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。-TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources.
TFBSS is based on the joint-diagonalization of whitened and noise-compensated
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几种集体联合对角化的盲源分离算法，包括ACDC，SOBI,WEDGE,UWEDGE.-Several collective joint diagonalization for blind source separation algorithm, including ACDC, SOBI, WEDGE, UWEDGE.
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此程序为自然梯度盲源分离，采用非线性函数-This program is a natural gradient of blind source separation, nonlinear functions
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该算法以全局最优的方式实现盲源分离，程序调用说明：x为观测信号，y为估计信号-The global optimization algorithm to achieve blind source separation approach, the program calls Descr iption: x for the observed signal, y is estimated signals
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