互信息盲源分離，這基于這么一個事實，混合信號的互信息最小時，意味著信號獨立。可以參考有關書籍。在google里面，搜索mutual information blind source SEParation.即可搜到文章。
標簽： 盲源分離
上傳時間： 2014-07-20
上傳用戶：2404
ICA/BSS for Wireless Communication first-Order Differential Beamforming and Joint-Process Estimation for Spatial Source SEParation 一篇論文.
標簽： Communication Joint-Process Differential Beamforming
上傳時間： 2013-12-05
上傳用戶：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
標簽： classification support machine Ltrain
上傳時間： 2015-09-04
上傳用戶：問題問題
Prony算法工具箱。Prony方法是用一組指數項的線性組合來擬和等間距采樣數據的方法,可以從中分析出信號的幅值、相位、阻尼因子、頻率等信息。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.
標簽： Prony considerations including data
上傳時間： 2015-09-11
上傳用戶：lizhizheng88
時間序列分析G-P method to calculate the correlation dimension of Matlab (Mex version) not use "temporary SEParation," use of the correlation integral Mex documents fast
標簽： correlation calculate dimension temporary
上傳時間： 2016-04-25
上傳用戶：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.
標簽： multidimensional developed algorithm denoising
上傳時間： 2016-06-01
上傳用戶：cc1915
Matlab environment based on the independent component analysis (ICA) is the imagie mixed with the SEParation of simulation program
標簽： the environment independent component
上傳時間： 2014-08-10
上傳用戶：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
標簽： identification considered features separati
上傳時間： 2016-09-20
上傳用戶：FreeSky
四種聚類算法源代碼及示例代碼,本程序的最終目的是形成一套標準的用于聚類、可擴展的工具。包括的內容有1. 聚類算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 評估分類原型：程序可以在二維圖像上繪制出聚類的結果 3. 驗證：程序給每一個算法提供驗證機制，每個聚類算法會統計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)幾種衡量指標。
標簽： FCMclust GKclust GGclust Kmedoid
上傳時間： 2013-12-17
上傳用戶：13160677563
程序包包含的驗證方法，會根據以下的多個指數分配系數(Partition Coefficient)，分類熵Classification Entropy ，分區索引，分離指數（SEParation Index），Xie and Beni s的索引，嚴重聚類的算法
上傳時間： 2017-02-21
上傳用戶：playboys0
