WPAnalysis

quantification of parameters of lifting

Rutines to analize the ACL of one dimention, generate ACL of variable neighborhood radius, claculate bruijn diagram, Generate subset matrix acl.mat -> Graf a Celular Autoamta L=1 bruijn.mat -> Generate bruijn diagram and the bruijn matrix invbruijn.mat -> Se le pasa la matriz de evo y el saca los parametros (el inverso) subconjuntos.mat -> Generate subset matrix invsubcon.mat -> Generate the inverse of subset matrix parejas.mat ->Generate the couple matrix anteriores" (Rutines to analize the ACL of one dimention, generate ACL of variable neighborhood radius, claculate bruijn diagram, Generate subset matrix acl.mat-> Graf a Celular Autoamta L=1 bruijn.mat -> Generate bruijn diagram and the bruijn matrix invbruijn.mat-> Se le pasa la matriz de evo y el saca los parametros (el inverso) subconjuntos.mat -> Generate subset matrix invsubcon.mat -> Generate the inverse of subset matrix parejas.mat ->Generate the couple matrix anteriores" )

傅里叶对干涉相位梯度进行变换，以执行一种新的加权最小二乘(Fourier transform on the interferometric phase gradient to perform a new weighted least squares)

利用MATLAB绘制等温线，以湖南省为例，绘制了省界，97县的位置以及等温线。(plot temperature contour through MATLAB.)

本文档是基于matlab的OFDM源程序，包括卷积码编码，交织，加导频等。(This document is based on the OFDM matlab source, including convolution coding, interleaving, plus the pilot and the like.)

MATLAB官网的EMD原始程序，里面包含了C语言的emd程序代码，经过验证该程序可以使用，实现了emd分解。(The official website of the MATLAB EMD original program, which contains the C language EMD code, after verification of the procedure can be used to achieve the EMD decomposition.)

s32k144的电机控制simulink模型，可生成elf和mot文件(S32k144 motor control simulink model, which can generate elf and mot files)

说明：  UE Simulation LTE from Vienna University

用SCA算法实现时间同步和载波频率偏移。载波频率偏移通过训练序列实现(SCA algorithm with time synchronization and carrier frequency offset. Carrier frequency offset achieved by training sequence)

基于matlab的实现函数归一化的功能，可将函数进行均值为0，方差为1的归一化处理。(Matlab-based implementation of function of the normalized function, can function with mean 0, variance 1 normalization processing.)