搜索资源列表
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
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
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_25
- 盲源分离的快速算法，非常好用，直接调用函数即可使用，-Fast algorithm for blind source separation, very easy to use, can be used directly call the function,
nonlinear-blind-source-separation
- 本工具箱描述了非线性盲源分离的原理及算法-This toolkit described the principle and algorithm of nonlinear blind source separation
8
- ICA算法 实现盲源分离三种信号的分析-Blind Source Separation ICA algorithm analyzes three signals
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
kurt_grad_vary
- 基于分离度的变步长盲源分离算法，将峭度梯度算法改进成变步长梯度算法，提高了分离性能，使收敛速度加快，使计算耗时减少。程序编入了两种算法的对比。-BSS based on separation degree by vary step gradient.
gf
- 白化处理的自然梯度盲源分离统一算法_刘鑫-Natural gradient blind source separation whitening unified algorithm _ Liu Xin
ICA2
- 首先将四个仿真信号混合，得到4组仿真信号，采用FASTICA算法进行盲源分离，得到源信号。-First four mixed signal simulation, emulation signals obtained four groups, using FASTICA blind source separation algorithm to obtain the source signal.
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
tf_ubss
- 基于时频分析的欠定盲源分离算法，其中用到联合对角化的算法以及理论-Blind source separation algorithm based on time-frequency analysis due to which the use of algorithms and theory of joint diagonalization
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
fourth
- 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,适合初学者！-Based on the fourth-order statistics of the blind source separation algorithm, it is a feature matrix combined diagonal abbreviation for beginners!
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)
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.)
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