搜索资源列表
music
- MUSIC（Multiple Signal Classification）是一种信号参数估计算法，其分辨率高。该算法是利用输入信号协方差矩阵特征结构而形成的一种多重信号分类技术。-MUSIC (Multiple Signal Classification) is a kind of signal parameter estimation algorithm, its high resolution. The algorithm is the use of the input signal cov
Autocorrelation_function
- 信号处理之相关函数，自相关函数，自协方差函数，互协方差函数等等仿真程序，以验证过-Signal processing of the correlation function, autocorrelation function, autocovariance function, cross-correlation function, and so simulation program to verify over
LS
- 本程序给出了最小二乘滤波算法的具体编程，程序中分析比较了自相关算法、协方差算法、前后向加窗算法的滤波效果-This procedure gives the least squares filtering algorithm specific programming, program analysis and comparison of the auto-correlation algorithm, covariance method, before and after windowing alg
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
CMatarySRC
- 一个简单的数理统计系统，实现了矩阵的方差，协方差，概率统计等运算，包含说明文件的。-A simple system of mathematical statistics to achieve a matrix of variance, covariance, probability and statistics and other operations, including documentation.
compression_3
- 在神经网络中用求协方差矩阵的方法对人脸图像进行压缩及恢复-In the neural network covariance matrix using the method of face image compression and restoration
matrixcomp
- 主要是计算矩阵的公式和方法，用到协方差，特征值和特征向量-Mainly matrix calculation formulas and methods used covariance, eigenvalue and eigenvector
imagematch
- 本程序分别用相关系数，协方差等5种方法实现了同名像点的自动匹配-5 ways to realize the automatic matching of corresponding points
Bayesian_parameter_est
- 贝叶斯参数估计 输入：train_patterns, train_targets, sigma 输出：均值，协方差-function [mu, sigma] = Bayesian_parameter_est(train_patterns, train_targets, sigma)
PCACOV
- 在LabVIEW软件的基础上，通过求解协方差来实现PCA算法，-In the LabVIEW software, based on the covariance achieved by solving the PCA algorithm
bayes
- 根据题目，在三类协方差不相等和三类协方差相等的情况下进行bayes分类 -Under the title, in three categories and three types of covariance not equal covariance equal manner bayes classification
language
- 高级数字信号处理，用各种方法包括music算法、burg法、布莱克曼法、协方差法、周期图法、自相关法进行谱估计，-Advanced digital signal processing, algorithms in various ways, including music, burg method, Blackman method, covariance method, periodogram, autocorrelation method, spectral estimation,
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