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test6
- 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
BayesClassification
- 贝叶斯分类器的设计，其中包括协方差相等与不等时的两类情况，分类效果很好-Bayesian classifier design, including equal and unequal covariance of two categories, very good classification performance
SMI
- 块自适应处理算法先有采样快拍数据计算采样协方差矩阵，再来计算自适应权矢量。典型的块自适应处理算法为采样矩阵求逆(SMI)算法。仿真了采样矩阵求逆法(SMI)的波束形成方向图旁瓣的高低受信号快拍数的影响。-Block adaptive processing algorithms prior sample snapshot data of the sampling covariance matrix, again computing adaptive weight vector. A typical
An_improved_ekf_new_methods
- 本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。-This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) th
equality_constraints_of_uncertain_systems_filterin
- 研究了一类离散不确定系统中存在等式约束时的最优滤波问题，在均方误差最小的意义下利用卡尔曼滤波给出了最优解。与传统的不确定滤波结果相比，从理论证明了利用更多信息的约束滤波的估计误差协方差的迹更小。-A class of discrete uncertain systems exist in the optimal filter when the equality constraint problem, the minimum mean square error in the sense of Ka
feisher
- PCA的步骤： 1 先将数据中心化； 2 求得的协方差矩阵； 3 求出协方差矩阵的特征值与特征向量； 4 将特征值与特征向量进行排序； 5 根据要降维的维数d’,求得要降维的投影方向； 6 求出降维后的数据； -PCA steps: 1 of the first data center 2 covariance matrix obtained 3 obtained covariance matrix eigenvalues and eigenvectors 4
ACF
- ACF中包含两个m文件，一个是自协方差函数（可单独使用）。另一个是自相关函数计算，其调用autocov函数。-ACF contains two m files, one is self-covariance function (which can be used alone). The other is calculated from the correlation function, which calls autocov function.
AnAdaptiveFourDimensionalKalmnFilteforDopplerFrequ
- 用泰勒级数展开的形式表示高动态的载波相位参数, 给出了对高动态载体和各阶频率参数 估计的四阶加权扩展卡尔漫滤波器(EKF) , 以及实现高动态跟踪滤波器必须的状态转移矩阵和动 态噪声协方差矩阵. 计算机模拟实验分析了对载波相位和各阶频率的跟踪结果.-Taylor series expansion with the form that the carrier phase high-dynamic parameters, given the high-order dynamic freq
w_SMI
- 针对均匀线列阵，当采用样本协方差矩阵求逆的方法时，得到的波束扫描估计方位谱。三个信号源-For uniform linear array, when using the sample covariance matrix inversion method, estimated by scanning the beam position spectrum. Three sources
modern
- 现代谱估计方法的matlab实现，有列文森自相关法、协方差法、修正协方差法及伯格法-Matlab modern spectral estimation methods to achieve, there Levinson autocorrelation method, covariance method, modified covariance method and the Burg method
KalmFilter
- matlab下的卡尔曼滤波器！外推方程、协方差外推公式、滤波协方差方程！-Kalman filter under matlab! Extrapolation equation, covariance extrapolation formula, the filter covariance equations!
covFunctions
- 高斯回归建立代理模型行协方差函数的选着的变成-gpml-matlab-v3.1-2010-09-27
gpml
- 高斯过程的协方差函数 及其选着 列出多个协方差函数
xiefangcha
- 高频雷达 目标检测 去除Bragg峰 采用现代信号处理的方法 协方差方法-Remove high-frequency radar target detection Bragg peak using the methods of modern signal processing methods covariance
detection
- 在粒子滤波器框架下，选取区域协方差矩阵特征对运动独立的目标进行描述.-an adaptive template update method base on region covariance descr iptor to track the target using particle filter algorithm in a complex circumstance.
svd
- 利用奇异值分析，进行最大协方差分析，得到两个物理量的相互关系。-Use of singular value analysis, the maximum covariance analysis, the relationship between the two quantities.
kalman
- kalman滤波，比较当过程噪声协方差Q和测量噪声协方差R取不用值时对卡尔曼滤波效果的影响-primary kalman filter.it shows how different R and Q aspect the reslut of kalman filter
gcor
- 分数低阶协方差谱的MATLAB程序，含4种计算分数低阶协方差谱的估计方法-Fractional lower order covariance spectrum MATLAB program, including four kinds of calculation of fractional lower order covariance spectral estimation method
sdarticle
- 一篇有关扩展卡尔曼滤波中噪声协方差取值测量的外文文献-Identification of process and measurement noise covariance for state and parameter estimation using extend kalman filter
dip
- 基于边缘导向的插值算法 首先估计出低分辨率图像的局部协方差系数，然后基于低分辨率图像的协方差和高分辨率图像的协方差之间的几何二元性，用估计出来的协方差进行插值得到高分辨率图像-Image interpolation based on oriented