AverageDisplacement

Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. The number of principal components is less than or equal to the numbe

编写了多重自适应算法，可以稍加修改用于信号处理中(The preparation of multiple adaptive algorithm, can be modified for signal processing)

这是一个从国外网站下载的ICA 的matlab源代码(This is a website of the ICA from abroad, the source code of the matlab)

实现快速傅里叶变换函数的matlab程序，以2D作为基来写的(Fast Fourier transform function matlab program to 2D as a base to write)

Highcharts-3.0.7的样例代码，特别试用，可供各位初学者参考和使用。(Highcharts SourceCode)

measurement for state estimation

this code for DAI and WSN simulation

用matlab的simulink环境下搭建的光伏发电仿真模型，内含三个simulink文件，解压后直接运行(PV simulation model used to build the next matlab simulink environment, containing three simulink file, run directly after decompression)

NMF常用源码。需要的拿去。NME常用MATLAB源码。(NMF common source. Need to take. NME used MATLAB source.)

MATLAB CODE FOR TIME DIVISION MULTIPLEXING SIGNALS