chap7

A=(aij)20×20的LDLT分解与Cholesky分解(A = (aij) 20 × 20 in the LDLT decomposition and Cholesky decomposition)

estimate the test accuracy,training accuray and validation accuracy of a neural network with 10-fold cross validation.

快速高斯滤波工具箱（fast guassian toolbox），具有良好的滤波效果，希望大家可以用来进行探讨。(Fast Gaussian filter Toolbox (fast guassian toolbox). good filtering effect, we hope can be used to explore.)

electric machines analysis

VC++与Matlab混合编程的快速实现(VC++ and Matlab Fast Implementation of mixed programming)

This matlab code can be used to generate a parity check matrix for the LDPC code and further encoded and decoded in a complete communication system.

SRM ,Dynamic model of a swithce reluctanc emotor.

说明：  ER 模型网络生成的matlab代码 计算网络的度分布、集簇系数 网络科学作业 (ER model generate a random network of nodenum nodes with probability of 0.1 and calculate average degree, average clustering coefficient and degree distribution)

1、对观测数据进行卡尔曼滤波，得到预测的航迹以及估计误差的均值和标准差 2、返回值包括滤波预测后的估计航迹,以及均值和误差协方差(1, the observed data, the Kalman filter, to get the track and the estimated prediction error of the mean and standard deviation 2, the return value, including forecasts of the estimated filter track, and the mean and error covariance)

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)