Vblast

中心化后的傅里叶谱，傅里叶频谱和平均值,计算图像的平均值(Fourier spectrum and average value)

一个关于检点检测的matlab程序 已经成功实现(A point detection matlab procedures have been successfully)

用于将中央气象台的T639数据转换为Matlab格式的数据(transform the data from National Meteorological Center of CMA to matlab format)

主要介绍在matlab中如何使用好绘图的函数，以及一些例子(Mainly introduces how to use the matlab function better graphics, as well as some examples)

应用matlab编程，实现了对CT图像的重建(reconstruction for CT image)

the code simulates the ofdm over rayielgh fading channels

介绍了并联机器人的定位实现功能，做出了仿真程序。对初学者有很好的指导功能(Describes the positioning to achieve functional parallel robot, made a simulation program. There are a good guide for beginners function)

基于最大类间方差阈值与遗传算法的道路分割，是基于最小二乘法的改进(Based on road Otsu threshold segmentation and genetic algorithm is based on the least square method to improve)

This is a Monte Carlo sampling matlab programming, hope you can use it, enjoy!

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier