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3下载：
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.
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covariance matrix by c-covariance matrix by c++
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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.
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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。
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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
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对称矩阵相关元算，主成分分析(PCA)， fisher
discriminant analysis(FDA).，-Introduction
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This is a class for symmetric matrix related computations. It can be used for
symmetric matrix diagonalization and inversion. If given the covariance matrix,
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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.
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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.
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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 observation
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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
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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.
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求协方差矩阵（C++） -Covariance matrix (C++) covariance matrix (C++)
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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.
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This is the matlab implementation of following noise level estimation:
Xinhao Liu, Masayuki Tanaka and Masatoshi Okutomi
Noise Level Estimation Using Weak Textur
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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.
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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 t
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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 t
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扩展卡尔曼滤波算法C语言实现：实现对二维状态变量的预测及跟踪。包括卡尔曼滤波初始化函数，负责初始化状态变量的值，过程噪声，测量噪声，以及状态转移矩阵。 卡尔曼滤波函数负责对状态变量进行迭代滤波，整个过程包括状态预测，协方差预测，测量预测，计算卡尔曼增益，状态量更新，协方差更新。(To realize the prediction and tracking of two dimensional state variables. It includes the initialization func
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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.)
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（a）产生两个都具有200个二维向量的数据集和（注意：在生成数据集之前最好使用命令randn(‘seed’,0)初始化高斯随机生成器为0（或任意给定数值），这对结果的可重复性很重要）。向量的前半部分来自均值向量的正态分布，并且协方差矩阵。向量的后半部分来自均值向量的正态分布，并且协方差矩阵。其中是一个2*2的单位矩阵。
（b）在上述数据集上运用感知器算法，并且使用不同的初始向量初始化参数向量。
（c）测试每一次算法在和上的性能。
（d）画出数据集和，以及分类面。((a) Generate
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