Search - covariance matrix c

Search - covariance matrix c - List

[Algorithm] szpGauss DL : 0: 用C＋＋实现的高斯混合模型的算法类，方差矩阵是对角矩阵-C++ Gaussian mixture model algorithm category, variance matrix is diagonal matrix
Update : 2025-02-19 Size : 4kb Publisher : 方平
[Algorithm] GHWPCA DL : 0: VC 6.0下的主成分分析代码，包括关系矩阵，协方差矩阵，以及因子分析的功能-VC 6.0 Principal Component Analysis code, including the relationship matrix, covariance matrix, and the function of factor analysis
Update : 2025-02-19 Size : 236kb Publisher : Eniak
[Static control] staticcode DL : 0: 进行多元统计分析基类代码及接口的实现元统计分析基类声明提供矩阵数据格式及矩阵的加减乘运算及多元统计中常用的求样本均值协方差方法-Multivariate statistical analysis for the base class code and the interface element statistical analysis of base class declaration data format and the matrix matrix addition and subtraction, multiplication and Multivariate Statistics used in order to sample mean covariance method
Update : 2025-02-19 Size : 42kb Publisher : 胡子春
[Windows Develop] cov DL : 0: covariance matrix by c-covariance matrix by c++
Update : 2025-02-19 Size : 2kb Publisher : sun
[Special Effects] generate_mean_covariance DL : 0: 本程序编程语言为C，主要用来对遥感训练数据进行处理，得到covariance矩阵。-This program is used to generate 3 files:mean file,covariance matrix of the training set, and inverse covariance matrix for training set.
Update : 2025-02-19 Size : 4kb Publisher : 李会利
[OpenGL program] maximum_likelihood_classification DL : 0: 经典的最大似然法分类法的C语言实现，有助于深入了解遥感分类原理。-This program implements the maximum likelihood classification procedure. ouput:1.classified image, and 2. probability file. Note: For constructong variance-covariance matrix must be generic binary file.
Update : 2025-02-19 Size : 4kb Publisher : 李会利
[Special Effects] Multi_gp DL : 0: 用来产生多变量高斯过程的MATLAB源程序。-MULTI_GP generates a multivariate Gaussian random process with mean vector m (column vector) and covariance matrix C。
Update : 2025-02-19 Size : 1kb Publisher : selen32
[Windows Develop] test6 DL : 0: 计算矩阵的协方差，通过c++实现，可以计算任意向量或矩阵的协方差-Covariance matrix calculated by c++ implementation, we can calculate any vector or matrix of covariance
Update : 2025-02-19 Size : 2.02mb Publisher : 张增波
[Algorithm] CMatrix DL : 0: 对称矩阵相关元算，主成分分析(PCA)， fisher discriminant analysis(FDA).，-Introduction ============ This is a class for symmetric matrix related computations. It can be used for symmetric matrix diagonalization and inversion. If given the covariance matrix, users can utilize the class for principal component analysis(PCA) and fisher discriminant analysis(FDA). It can also be used for some elementary matrix and vector computations. Usage ===== It s a C++ program for symmetric matrix diagonalization, inversion and principal component anlaysis(PCA). To use it, you need to define an instance of CMatrix class, initialize matrix, call the public funtions, and finally, free the matrix. For example, for PCA, CMarix theMat // define CMatrix instance float** C // define n*n matrix C = theMat.allocMat( n ) Calculate the matrix (e.g., covariance matrix from data) float*phi,*lambda // eigenvectors and eigenvalues int vecNum // number of eigenvectors (<=n) phi = new float [n*vecNum] lambda = new float [vecNum] the
Update : 2025-02-19 Size : 62kb Publisher : 朱
[Other] fc319646f828 DL : 0: Evaluate the multi-variate density with mean vector m and covariance matrix C for the input vector x.-Evaluate the multi-variate density with mean vector m and covariance matrix C for the input vector x.
Update : 2025-02-19 Size : 751kb Publisher : bassoum
[matlab] TP_Ondelettes DL : 0: Evaluate the multi-variate density with mean vector m and covariance matrix C for the input vector x.-Evaluate the multi-variate density with mean vector m and covariance matrix C for the input vector x.
Update : 2025-02-19 Size : 52kb Publisher : bassoum
[Algorithm] jianjiepingcha DL : 0: 水准测量中间接平差以及观测精度的计算，本程序由c++编写，可以得到平差后未知点坐标，协方差阵，观测值改正数等等。-Leveling in indirect adjustment and the calculation of the observational accuracy of the program written by c++ unknown point coordinates can be adjustment, the covariance matrix of observations corrections.
Update : 2025-02-19 Size : 16kb Publisher : 李飞
[matlab] music(doa) DL : 0: 七单元天线阵MUSIC DOA估计： d=1 ，天线阵元的间距； lma=2，信号中心波长；四输入信号； A=[A1,A2,A3,A4]，得出A矩；四信号的频率d=[1.3*cos(v1*n) 1*sin(v2*n) 1*sin(v3*n) 1*sin(v4*n)] 构造输入信号矢量 U=A*d 总的输入信号总输入信号的协方差矩阵 [s,h]=eig(c) 求协方差的特征矢量及特征值取出与零特征值对应的特征矢量求协方差矩阵的逆矩阵应用Music法估计输出绘出各波达方向图-Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* ⁢ sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure
Update : 2025-02-19 Size : 1kb Publisher : xiang
[Internet-Network] maximum_likelihood_classification DL : 0: 经典的最大似然法分类法的C语言实现，有助于深入了解遥感分类原理。-This program implements the maximum likelihood classification procedure. ouput:1.classified image, and 2. probability file.Note: For constructong variance-covariance matrix must be generic binary file.
Update : 2025-02-19 Size : 3kb Publisher : whicme
[Algorithm] matrix DL : 0: 求协方差矩阵（C++） -Covariance matrix (C++) covariance matrix (C++)
Update : 2025-02-19 Size : 2.63mb Publisher : 上官若忆
[GDI-Bitmap] huazi DL : 0: 两个代码一个是demo, demo是它的小样例子, 另外一个是它的源代码. - - This is the matlab implementation of following noise level estimation: Xinhao Liu, Masayuki Tanaka and Masatoshi Okutomi Noise Level Estimation Using Weak Textured Patches of a Single Noisy Image IEEE International Conference on Image Processing (ICIP), 2012. - Copyright (C) 2012 Masayuki Tanaka. All rights reserved. mtanaka@ctrl.titech.ac.jp - Contents - * NoiseLevel.m The main code of the noise level estimation. You can show the description by > help NoiseLevel demo.m also includes simple usage. This algorithm is implemented with only single m file. * demo.m Demonstration example. * lena.png Sample image. * README.txt This file. - Note - We used the maximum eigenvalue of the gradient covariance matrix
Update : 2025-02-19 Size : 3kb Publisher : 马欢
[CSharp] Covari-coeffici-matrix- DL : 1: 利用c#语言实现协方差矩阵、相关系数矩阵及它们的特征值计算，源码，已经调试。-Using c# language covariance matrix, correlation coefficient matrix and their eigenvalue calculation, source code, has been debugged.
Update : 2025-02-19 Size : 69kb Publisher : 瑶瑶
[e-language] AOA3DLocBias DL : 0: SensorPositons: (Dim x M) matrix, each column is a sensor position and first column is the reference sensor the sensors should not lie in one plane or line r: a (M-1) x 1 vector of TDOA measurements times signal propagation speed M is the number of sensors and should be at least Dim+2 Q: the covariance matrix of the r vector SourceLocation: estimated source location Note: W1 is updated 3 times (RptCnt=3) in Stage-1, however in most cases updating W1 once (RptCnt=1) is sufficient. The program can be used for 2D(Dim=2) or 3D(Dim=3) localization Ming Sun, K. C. Ho 08-01-2009 10-01-2010, revised Copyright (C) 2009 Computational Intelligence Signal Processing Laboratory University of Missouri Columbia, MO 65211, USA. hod@missouri.edu- SensorPositons: (Dim x M) matrix, each column is a sensor position and first column is the reference sensor the sensors should not lie in one plane or line r: a (M-1) x 1 vector of TDOA measurements times signal propagation speed M is the number of sensors and should be at least Dim+2 Q: the covariance matrix of the r vector SourceLocation: estimated source location Note: W1 is updated 3 times (RptCnt=3) in Stage-1, however in most cases updating W1 once (RptCnt=1) is sufficient. The program can be used for 2D(Dim=2) or 3D(Dim=3) localization Ming Sun, K. C. Ho 08-01-2009 10-01-2010, revised Copyright (C) 2009 Computational Intelligence Signal Processing Laboratory University of Missouri Columbia, MO 65211, USA. hod@missouri.edu
Update : 2025-02-19 Size : 1kb Publisher : marcelonog29
[e-language] TDOALoc DL : 0: SensorPositons: (Dim x M) matrix, each column is a sensor position and first column is the reference sensor the sensors should not lie in one plane or line r: a (M-1) x 1 vector of TDOA measurements times signal propagation speed M is the number of sensors and should be at least Dim+2 Q: the covariance matrix of the r vector SourceLocation: estimated source location Note: W1 is updated 3 times (RptCnt=3) in Stage-1, however in most cases updating W1 once (RptCnt=1) is sufficient. The program can be used for 2D(Dim=2) or 3D(Dim=3) localization Ming Sun, K. C. Ho 08-01-2009 10-01-2010, revised Copyright (C) 2009 Computational Intelligence Signal Processing Laboratory University of Missouri Columbia, MO 65211, USA. hod@missouri.edu- SensorPositons: (Dim x M) matrix, each column is a sensor position and first column is the reference sensor the sensors should not lie in one plane or line r: a (M-1) x 1 vector of TDOA measurements times signal propagation speed M is the number of sensors and should be at least Dim+2 Q: the covariance matrix of the r vector SourceLocation: estimated source location Note: W1 is updated 3 times (RptCnt=3) in Stage-1, however in most cases updating W1 once (RptCnt=1) is sufficient. The program can be used for 2D(Dim=2) or 3D(Dim=3) localization Ming Sun, K. C. Ho 08-01-2009 10-01-2010, revised Copyright (C) 2009 Computational Intelligence Signal Processing Laboratory University of Missouri Columbia, MO 65211, USA. hod@missouri.edu
Update : 2025-02-19 Size : 1kb Publisher : marcelonog29
[Windows Develop] 协方差矩阵 DL : 0: 基于C语言编写的一个协方差矩阵工程项目，希望对大家有帮助。(A covariance matrix engineering project based on C language is expected to be helpful to all of you.)
Update : 2025-02-19 Size : 2.63mb Publisher : 学无ZJ

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