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5.空间平滑MUSIC算法的MATLAB程序
- 空间平滑MUSIC算法用于估计阵列信号，处理阵列信号的协方差矩阵(MATLAB is used to develop the system model of array signal processing, such as the correlated signals, the error of amplitude and phase.)
usefultool
- 计算协方差提供了便利，特别是考虑了半衰期；同时提供了一些其他常用的计算工具，例如decayma ewma等移动平滑计算；(It is convenient to calculate covariance, especially considering half-life. Some other common computing tools, such as decayma ewma and other mobile smoothing calculations, are also provide
PCA
- Python实现PCA将数据转化成前K个主成分的伪码大致如下: ''' 减去平均数计算协方差矩阵计算协方差矩阵的特征值和特征向量将特征值从大到小排序保留最大的K个特征(Python PCA data into pseudo code before the K principal components are as follows: the characteristics of 'average minus the covariance matrix to calculate the covari
LSGLS
- 将协方差矩阵进行线性收缩，使估计更为准确(The covariance matrix is linearly contracted so that the estimation is more accurate)
Autocorrelation
- 编写MATLAB程序，产生协方差函数为C(τ)=9??^(?10|??| )的零均值平稳高斯过程，产生一条样本函数.测量所产生样本的时间自相关函数，将结果与理论值比较。(Procedures for the preparation of MATLAB produced C covariance function (tau) =9^ (- 10||) zero mean stationary Gauss process to produce a sample function. Measuring
doa_music
- MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm is a kind of feature space based on the matrix decomposition method.From geometric point of vie
C3
- 根据极化SAR数据，将目标的极化散射矩阵矢量化成相对应的极化协方差矩阵(According to the polarimetric SAR data, the polarization scattering matrix of the target is transformed into the corresponding polarization covariance matrix)
srukf
- % 函数功能： SRUKF滤波器 % 适用范围： 测量线性、噪声加性时的SRUKF 滤波 % INPUT % x1： 系统状态 % T： 捷联矩阵计算值 % Tbn： 捷联矩阵真实值 % fp： 比力在计算坐标系内的投影 % Pw： 过程噪声 % Pv： 量测噪声 % phi： 计算的纬度 % % OUTPUT % Xk: 滤波后的状态 %
exp_2_1
- Iris数据集，计算协方差矩阵和相关系数矩阵和kl变换(The goal of this programming experiment is to: Calculate the covariance matrix and the correlation coefficient matrix of the Iris data set. Perform the Karhunen-Loeve transform on this data set.)
te2
- 为解决信号检测过程中噪声不确定性的影响，以接收信号协方差矩阵为基础，提取其特征值作为检测统计量进行频谱感知(In order to solve the influence of noise uncertainty in the signal detection process, based on the covariance matrix of the received signal, the characteristic value is extracted as the detection
CMA_ES
- 一种协方差矩阵自适应优化算法的说明文档和MATLAB实现。测试函数经测试可以运行。(A covariance matrix adaptive optimization algorithm for documentation and MATLAB implementation. The test function can be run by testing.)
MPC
- Arima模型的一些函数，不全，仅供参考，m语言帮助文档里的，我自己也不怎么会，所以还请见谅(Incomplete, for reference only, M language help document, I do not know how, so please forgive me)
例4-2的R代码
- 计算协方差阵、逆矩阵、和各组均值；进行预测及回判。(Covariance matrix, inverse matrix, and mean of each group are calculated)
matlab克里金插值kriging
- 克里金(Kriging)插值法，又称空间自协方差最佳插值法，它是以南非矿业工程师D．G．Krige的名字命名的一种最优内插法。克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。(Krikin (Kriging) interpolation method, also called spatial covariance best interpolation method, is an optimal interpolation method named by Sout
cov
- 协方差计算,计算点云数据协方差，坐标旋转等。(ji suan dian yuan shu ju xie fang cha, zuo biao xuan zhuan ,xie fang cha.)
PCA笔记
- 对PCA的个人理解，有详细的PCA推导过程，代码包括计算协方差，及其特征值特征向量。(For the personal understanding of PCA, there is a detailed process of PCA derivation. The code includes the calculation covariance and its eigenvalue eigenvector.)
图像的分析
- 可显示图像中指定点的坐标值、像素值、图像强度曲线、图像像素强度曲线、等值线、均值、标准差、协方差系数、质心、边界等。(It can display coordinate values, pixel values, image intensity curves, pixel intensity curves, contour lines, mean value, standard deviation, covariance coefficient, centroid, boundary and s
KalmanFiltering
- 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
mar
- 用协方差方法估计AR模型参数,进而实现功率谱估计,()
matlab与多元统计分析
- MATLAB与多元统计分析 雷达图 轮廓图的matlab实现 算协方差与均值(MATLAB and multivariate statistical analysis The calculation covariance and mean value of the MATLAB realization of the radar figure)