kalman_filter

The method works as follows. 1. For a data set with dimensionality, d, compute the variance of data in each dimension (column). 2. Find the column with maximum variance call it cvmax and sort it in any order. 3. Divide the data points of cvmax into K subsets, where K is the desired number of clusters. 4. Find the median of each subset. 5. Use the corresponding data points (vectors) for each median to initialize the cluster centers.

利用神经网络解决人口模型 附加MATLAB程序(Additional MATLAB program using neural networks to solve population model)

基于压缩感知的云存储系统状态监测方法1001-0505(2013)02-0296-05(State detection method for cloud storage system based on compressive sensing)

灰色系统的matlab实现程序!可以预测未来态势发展(Gray system procedures matlab realize! Can predict the future trend of development)

matlab开发环境下学习列表框控件使用的一个程序，使用GUIDE编程！(matlab development environment for learning to use a list box control, the use of GUIDE programming!)

The present matlab code derives from the basic Lattice Boltzmann code named LB BGK D2Q9 and submitted on 2005-02-10 (see Matlab Central) MATLAB release MATLAB 7.1.0 (R14SP3)

expand axes for matlab

D-S证据理论数据融合，包括压缩比、运行时间和计算复原图像的峰值信噪比,合成孔径雷达（SAR)目标成像仿真。( D-S evidence theory data fusion, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Synthetic Aperture Radar (SAR) imaging simulation target.)

Matlab Optimization Toolbox important book

LOWESS, Locally Weighted Scatterplot Smoothing for linear and non-linear data (enhanced)( LOWESS- Locally Weighted Scatterplot Smoothing Modifications: This regression will work on linear and non-linear relationships between X and Y.)