sem_MATLAB_vectormanip

这个是OMP10的工具包，配合KSVD13一起使用，可用于解决优化问题(OMPBox v10 October 18, 2009，matlab v7.3 or newer vertion)

fpt.m -- Fast Poisson transform.(fpt.m-- Fast Poisson transform.)

一个有关matlab高级绘图功能的ppt课件，对掌握matlab高级绘图有很大帮助(A high-level graphics functions on matlab ppt courseware, advanced graphics on the master of great help matlab)

APF 在MATLAB的环境下，用SIMULINK进行仿真，基于的算法是 环宽控制(APF MATLAB)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

我们公司控制电动葫芦的程序，是用omron程序编写的．(Electric hoist control of our company s procedures, is prepared by Omron procedures.)

Some program for signal processing

this is the leach protocol simulation in matlab of wireless sensor network

The MWM is a multiscale multiplicative data model which is able to capture not only correlation structure but also `spikiness .   Here, it is shown in comparison with a multiscale additive model which can match only the correlations

基于无迹卡尔曼滤波的人工神经网络matlab程序(Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function.)