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JADE
- 实现盲信号分离算法中的JADE算法，该算法收敛速度快，分离效果好，能够实现复值信号的分离，比传统的FASTICA算法性能略好-Blind signal separation algorithm to achieve the JADE algorithm fast convergence, separation effect, to achieve the separation of complex-valued signal, than the traditional FASTICA sligh
mangxinhaoBBS
- 该文件采用BBS算法能够实现盲信号的分离，分离效果很好，输入为两种信号的非线性叠加，经过仿真效果很明显！-The document can be achieved using BBS algorithm for blind signal separation, separation a good effect, input non-linear superposition of two kinds of signals, through simulation effect is obvious!
cubica34
- 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
maxkurtica
- 一种新的基于峭度的盲源分离开关算法。程序调用说明：该算法程序调用格式为[y,w]=bksa(x),其中x是一个n*T的数据矩阵，y是估计出的源信号矩阵，w是n*n分离矩阵。-A new kurtosis-based switch algorithm for blind source separation. Program calls Note: The algorithm program calls the format [y, w] = bksa (x), where n* T x is a
FastICA-algorithm
- 利用独立分量分析中的FastICA算法对盲信号源进行了分离。最终通过实验结果表明，独立分量分析可以有效地实现分离。-FastICA algorithm using independent component analysis and blind source separation. Eventually through the experimental results show that the independent component analysis can be effectively
LMS
- 利用LMS算法来进行盲信号分离处理的程序-Using the LMS algorithm for blind signal separation processing procedures
psorfid
- 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
fastica
- 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
zxl
- 语音信号的盲信号分离算法研究与应用的matlab程序代码-Blind signal separation algorithm research and application of speech signal matlab code
wasobi
- 二阶盲源分离算法，可以分离出在非欠定的情况下的混叠信号-Second-order blind source separation algorithm can be isolated in a non underdetermined situation aliasing
029861723HOS_MIMO
- 这是一个基于高阶统计量的盲信号分离算法，便于大家参考。-This is a higher-order statistics based on blind signal separation algorithms for easy reference.
blind-recover
- 盲信号分离，能够很好的进行调用，并给出了恢复算法-blind seperation,recover source signal
盲源分离
- 常用的盲分离算法有二阶统计量方法、高阶累积量方法、信息最大化（ Infomax ）以及独 立成分分析（ ICA ）等。这些方法取得最佳性能的条件总是与源信号的概率密度函数假设有关， 一旦假设的概率密度与实际信号的密度函数相差甚远，分离性能将大大降低。本文提出采用 核函数密度估计的方法进行任意信号源的盲分离，并通过典型算例与几种盲分离算法进行了 性能比较，验证了方法的可行性。(The commonly used blind separation algorithms include
2014-03-19-Focuss算法
- 主要实现源信号盲分离，注释比较清楚，能够运行，对于初学者帮助较大(The main source of blind separation of the signal, the note is relatively clear, able to run, for beginners to help larger)
oifection__store
- 用于盲信号分离的独立分量分析ICA算法,运行于Matlab,还可以(Used for the separation of fanaticism, independent component analysis (ICA algorithm, running in the Matlab, can also)
Untitled5
- 基于分离度的变步长不完整自然梯度算法，能够很好的实现盲信号分离。(Based on the degree of separation of variable step size incomplete natural gradient algorithm, can be very good to achieve blind signal separation.)
ori_true630
- 自然梯度算法，能够很好的实现盲信号分离，是很经典的算法。(Natural gradient algorithm, can be very good to achieve blind signal separation, is a classic algorithm.)
pcamat
- 能够很好的实现盲信号分离的自然梯度算法，是很经典的算法。(Very good to achieve blind signal separation of natural gradient algorithm, is a classic algorithm.)
ICA算法
- 盲源分离；混合信号分离； 噪声抑制与信号提取方法与实现；(Independent component analysis)
DUET
- 介绍了DUET盲源分离方法，可以仅使用两个混合信号分离任何数目的源分离方法。该 方法适用于源信号W-不相交正交的情况。(T the DUET Blind Source Separation method which can separate any number of sources using only two mixtures. The method is valid when sources are W-disjoint orthogonal, that is, when the sup