test_max_log_map

CVPR2009 FLOW CODE IT IS USEFUL TO SOMEONE WHO WANT TO STUDY OPTICAL FLOW(CVPR2009 FLOW CODE)

最小二乘法测向技术研究，很好的文章，大家一起研究一下(Least squares method to measure the technology, very good article, we study together)

matlab中的gui界面制作。包括控件，坐标，画图等一些列功能，自动打开文件等。(matlab gui interface in production. Control, coordinate, drawing a series of functions, and automatically open the file.)

关于matlab入门的一本书籍，的确很好用，希望能对大家有帮助(matlab introduction)

the Gradient Projection Algorithm for Matlab coding

TUTORIAL FOR UW NETWORK CODING USING OPNET AND MATLAB

1000kV高压输电线的三维电磁场计算的matlab程序(Three-dimensional electromagnetic)

基于matlab上进行扩频技术的仿真研究（M文件实现）(Matlab based on the simulation of spread spectrum technology (M documents to achieve))

1. m-file lpc2cep: Convert the LPC a coefficients in each column of lpcas into frames of cepstra. 2. m-file lpc2spec:Convert LPC coeffs back into spectra

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.)