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。
标签： 盲源分离
上传时间： 2014-07-20
上传用户：2404
ICA/BSS for Wireless Communication first-Order Differential Beamforming and Joint-Process Estimation for Spatial Source Separation 一篇论文.
标签： Communication Joint-Process Differential Beamforming
上传时间： 2013-12-05
上传用户：Shaikh
support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) Separation from the separating hyperplane (Lrun,1
标签： classification support machine Ltrain
上传时间： 2015-09-04
上传用户：问题问题
Prony算法工具箱。Prony方法是用一组指数项的线性组合来拟和等间距采样数据的方法,可以从中分析出信号的幅值、相位、阻尼因子、频率等信息。considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise Separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.
标签： Prony considerations including data
上传时间： 2015-09-11
上传用户：lizhizheng88
时间序列分析G-P method to calculate the correlation dimension of Matlab (Mex version) not use "temporary Separation," use of the correlation integral Mex documents fast
标签： correlation calculate dimension temporary
上传时间： 2016-04-25
上传用户：Late_Li
I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the Separation between data and noise.
标签： multidimensional developed algorithm denoising
上传时间： 2016-06-01
上传用户：cc1915
Matlab environment based on the independent component analysis (ICA) is the imagie mixed with the Separation of simulation program
标签： the environment independent component
上传时间： 2014-08-10
上传用户：shinesyh
The main features of the considered identification problem are that there is no an a priori Separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
标签： identification considered features separati
上传时间： 2016-09-20
上传用户：FreeSky
四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。
标签： FCMclust GKclust GGclust Kmedoid
上传时间： 2013-12-17
上传用户：13160677563
程序包包含的验证方法，会根据以下的多个指数分配系数(Partition Coefficient)，分类熵Classification Entropy ，分区索引，分离指数（Separation Index），Xie and Beni s的索引，严重聚类的算法
上传时间： 2017-02-21
上传用户：playboys0
