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matlab例程 互信息盲源分离
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。
通讯编程文档 ICA/BSS for Wireless Communication first-Order Differential Beamforming and Joint-Process Estimat
ICA/BSS for Wireless Communication
first-Order Differential Beamforming and Joint-Process Estimation for Spatial Source Separation
一篇论文.
matlab例程 support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) wit
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_tra ...
matlab例程 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
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 inspecti ...
matlab例程 时间序列分析G-P method to calculate the correlation dimension of Matlab (Mex version) not use "temporary s
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
matlab例程 I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embed
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.
matlab例程 Matlab environment based on the independent component analysis (ICA) is the imagie mixed with the se
Matlab environment based on the independent component analysis (ICA) is the imagie mixed with the separation of simulation program
matlab例程 The main features of the considered identification problem are that there is no an a priori separati
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 ...
matlab例程 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
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), ...
matlab例程 程序包包含的验证方法
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