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FastICA_2.4
- 一种基于独立分量分析的改进算法． 可用于瞬时混合的盲分离．-based on independent component analysis algorithm improvements. For transient mixed Blind separation.
01243708
- 这是讲的关于盲分离的LCA在FPGA上如何实现的文章。是一篇英文的。
ocica97-p.rar
- 这是一篇ica盲源分离方法的技术文章 Overcomplete 的方法来解决,Blind Source Separation of More Sources Than Mixtures Using Overcomplete Representations
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
convolution
- 本算法针对盲源分离卷积算法，可以直接使用，效果很好-The convolution algorithm for blind source separation algorithm can be directly used with good results
BSS_with_convolutive_noise
- 盲源分离中，卷积噪声的去除，内容比较新，Spring下载的-Blind source separation, the convolutional noise removal, as relatively new, Spring download
FastICAProcedure
- 利用FastICA实现盲信号分离，研究盲信号分离的朋友不可缺少的帮助程序-Use FastICA to achieve blind signal separation, blind signal separation research indispensable friend to help program
Matlabmangxinhao
- 该文件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 achieve blind signal separation, separation a good effect, input non-linear superposition of two kinds of signals, through simulation effect is obvious!
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!
vbICA1_0.tar
- 该程序为变分贝叶斯独立分量分析算法，可以在强噪声环境下实现混合信号的盲分离，而且效果很好。-This code is the vbICA algirithm, which can separate the mixed signals in strong noisy environment, and the result better than other algorithms.
15883860ggsnr
- 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
Blindsourceseparation
- 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
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
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
基于最大信噪比的盲源分离算法
- 基于最大信噪比的盲源分离算法，有论文和程序。(A blind source separation algorithm based on maximum signal-to-noise ratio (SNR) is presented.)
盲源信号程序
- 盲源信号程序 可以实现盲源信号分离 可直接运行(Blind source signal yyyyyyyyyyyyyyyy)
盲源分离
- 盲源分离来实现混合语音的分离，对于学习语音信号的有着很好的参考作用(Blind Source Separation (BSS) is a good reference for learning speech signals.)
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
CFICA_11
- 盲分离代码,是实现卷积神经网络的盲分离matlab代码，其中附带有原理及其论文，是盲信号分离技术的一个好例子(Matlab code for blind separation of convolutional neural networks. Principles and papers are attached. It is a good example of blind signal separation technology.)