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AnadaptiveKalmanfilterfordynamicharmonicstateestim
- Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive
CUM2X
- function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) ％CUM2X Cross-covariance ％ y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag) ％ x,y - data vectors/matrices with identical dimensions ％ if x,y are matrices, rather than vectors, col
hao.本PPT介绍了协方差函数及其计算公式
- 本PPT介绍了协方差函数及其计算公式，变异函数及其计算公式，克里格插值方法的过程，最后给了一个基于克里金插值的实例.,This PPT introduces covariance function and its formula for calculating the variation function and its formula, Kriging interpolation process, and finally given an example based Kriging inter
fangchaxiefangcha
- 方差，协方差，通俗讲义，很容易理解，希望对大家有帮助-Variance, covariance, popular lectures, it is easy to understand
TDAPR_oddyn
- The dynamics of orbit uncertainty in an unstable orbital environment are discussed with specific application to the orbit determination of a halo orbit about the Earth{Sun L1 point. This article documents a simplified orbit determination covari
advanced_signal_processing
- 现代数字喜好处理的MATLAB程序代码，包含随机过程分析，各种功率谱估计（欧拉方程法、协方差算法、burg算法、修正协方差算法、等等），维纳滤波器的设计、自适应滤波器的设计。 note：里面包含一些很实际的算法设计，比如说：没有发送序列的自适应噪声抵消技术，etc .还包含了详细的设计报告！-Preferences of modern digital processing MATLAB code, including the random process analysis, a variety
TR2005-127
- Approach based on covariance matrix Approach based on covariance matrix Approach based on covariance matrix Approach based on covariance matrix-Approach based on covariance matrix Approach based on covariance matrix Approach based on covariance matri
DOA_ESTIMATION
- 基于DOA估计的波束空间协方差理论文献，来自I-BEAMSPACE COVARIANCE-BASED DOA ESTIMATION
3
- 用卡尔曼滤波法，虽然刚开始的初始高度协方差很大为100，但通过2步之后减小到不超过1，逐渐接近于0-Kalman filtering method, although the beginning of the initial height of 100 covariance great, but by following the two-step reduced to no more than 1, and gradually close to 0
3
- 用卡尔曼滤波法，虽然刚开始的初始高度协方差很大为100，但通过2步之后减小到不超过1，逐渐接近于0-Kalman filtering method, although the beginning of the initial height of 100 covariance great, but by following the two-step reduced to no more than 1, and gradually close to 0
MUSIC_algorithm
- MUSIC 算法是利用接收数据的协方差矩阵(Rx)分离出信号子空间和噪声子空间，利用信号方向向量与噪声子空间的正交性来构成空间扫描谱，进行全域搜索谱峰，从而实现信号的参数估计。-MUSIC algorithm is used to receive data covariance matrix (Rx) to isolate the signal subspace and noise subspace, using the signal direction vector and noise su
um
- Using mixture covariance matrices to improve face and facial expression recognitions
function-Bayes2
- function Bayes2 算法视线见《模式识别》P33－P44（各类样本的协方差不相等） 为了提高实验样本测试的精度，故采用多次模拟求平均值的方法-function Bayes2 algorithm line of sight, see " Pattern Recognition" P33-P44 (all sample covariance not equal) In order to improve the accuracy of test sa
A-NOVEL-SKIN-YCBCR-COLOR-SPACE
- This paper presents a new human skin color model in YCbCr color space and its application to human face detection. Skin colors are modeled by a set of three Gaussian clusters, each of which is characterized by a centroid and a covariance matr
trackfusion
- 利用误差协方差阵的迹最小准则建立了多传感器异步融合模型-Error covariance matrix using the minimum criteria for the establishment of a multi-track asynchronous sensor fusion model
covariation
- 介绍了协方差的作用，协方差是关于如何调节协变量对因变量的影响效应，从而更加有效地分析实验处理效应的一种统计技术-Describes the role of covariance, the covariance is about how to adjust the covariate effects on the dependent variable, and thus a more effective analysis of the experimental treatment effect o
sdarticle_2
- Shipboard/landbased radar clutter/jamming rejection using a structured covariance matrix ( journal paper )
em_covariances
- Using SAS/IML : This code uses the EM algorithm to estimate the maximum likelihood (ML) covariance matrix and mean vector in the presence of missing data. This implementation of the EM algorithm or any similar ML approach assumes that the data are
signal-parameter-estimation
- 本文分析了多级维纳滤波器的特性，在加性噪声和二维天线阵列如均匀圆阵、均匀面阵、十字阵等条件和背景下，对信源个数和信源参数估计问题进行了研究，提出了基于多级维纳滤波器前向分解特性的快速参数估计方法，同时提出了基于多级维纳滤波器的二维ESPRIT参数估计方法，该类方法无需协方差矩阵的估计运算及分解运算，计算复杂度较低。另外，还提出了对信源个数的估计算法。-This paper analyzes the characteristics of multistage Wiener filter, in t
fast-subspace-algorithm
- 为了对空间辐射源进行精确定位" 建立了基于任意阵列对多目标源进行二维DOA估计的数学模型。将 MUSIC算法推广到三维空间阵列可以对辐射源进行二维高精度测向,但由于其需要估计接收数据的协方差矩阵和进行特征分解, 因而其计算量较大。利用多级维纳滤波器的前向递推获得信号子空间和噪声子空间，不需要估计协方差矩阵和对其进行特征分解，从而降低了MUSIC算法的计算量。将文中的方法应用于任意阵列的二维DOA估计中进行计算机仿真和实际侧向系统性能验证,实验结果均表明该方法达到了MUSIC算法的性能,但与常规M