搜索资源列表
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
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
NGbss
- 一个自然梯度的盲源分离matlab算法,希望对大家有用-A natural gradient algorithm for blind source separation matlab hope for all of us
20090226
- 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的 分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分 量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混 合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal
qqqqq
- :独立成分分析 ( I C A)在国内尚属一门新型的方法 介绍了I C A的原理及其算法 ,然后介绍了该算法在盲源 信号分离中的具体应用,并将此方法 与主成分方洼 ( P C A)进行了比较-: Independent Component Analysis (ICA) in China is a new method to introduce the principle of the ICA and its algorithm, and then introduced the algori
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
mfa
- 用于盲信号分离的原代码,可以根据输入源信号的基本统计特征,由观测数据进行信号分离,最终恢复出源信号。 -Blind signal processing has become an emerging subject in signal processing in these years, which depends on the source signal statistical characteristics to separate the signals from the observa
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.
sparse-variable-BSS
- 基于稀疏变量的欠定盲源分离,可以解决源数大于传感器数的问题,即欠定盲源分离问题。-Based on the sparse variable underdetermined blind source separation, can solve the source number is greater than the number of sensors the problems, i.e. underdetermined blind source separation.
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。
基于分离度的变步长不完整自然梯度算法
- 自己写的代码,基于分离度的变步长不完整自然梯度算法实现盲源分离,比传统的梯度分离效果要好,可以直接运行。
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.)
ICADemo
- 在盲源的情况下求解输入信号,我感觉非常有用哦(get the signal of the input)
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)