搜索资源列表
FastICA
- 盲源分析程序，是在MATLAB环境下编写的。软件包中不仅提供了简单易用的人机界面环境，而且还提供了一些基本的函数供用户根据自己的需要进行开发。-blind analysis procedures, in MATLAB environment prepared. The package not only provides a simple user-friendly man-machine interface environment, but also provides some basic fu
amuse
- 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
bss_toolbox
- 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
FastICA25
- 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.
amu
- 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
infomax2
- matlab盲源分离informax程序-Matlab Blind Source Separation procedures informax
kernel-ica1_2.tar
- 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)
acdc
- 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.
ica_ng
- 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.
muatual_information_ICA
- 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
convolutive
- 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.
stestandst
- S变换的matlab源码，并应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。s变换是时频分析领域中一个较新的内容，现在在信号处理，地震勘探，语音识别等领域都开始了对它的应用研究，是目前的一个热点。-S transform matlab source, and apply some signal as an example to illustrate how to use s and s transform transform can be used to do thing
s1
- 利用自然梯度算法，仿真盲信号分离过程，并给出学习收敛曲线-Use of natural gradient algorithm, simulation blind signal separation process, and gives the convergence curve of learning
source_model
- 盲信号分离的源信号模型，要更好的了解和利用时间序列的内在时间结构和复杂特性，通常可以采用相应的数学模型区近似描述各种类型的数据，该程序采用泛化自回归模型来产生盲源信号-Blind signal separation of the source signal model, we must better understand and leverage the structure of time series Neizai He Fuzatexing time can generally be ado
bssg
- 在windows matlab环境下实现卷积模型下的信号盲源分离-In matlab simulation environment， convolutive BSS problem is solved.
ICA和时频方法进行声源定位
- ICA和时频方法进行声源定位的matlab程序，含源程序及介绍，调用主程序即可。
YGBSS
- 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.)
gradient1
- 本程序用自然梯度算法实现源信号的分离，给出了平均串音误差(This program uses natural gradient algorithm to achieve the separation of source signals, and gives the average crosstalk error)
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
频域盲解卷积
- 该算法可以实现在频域解解卷积，包含排序算法，亲测好用(The algorithm can realize deconvolution in frequency domain, including sorting algorithm, which is easy to test)