MATLABEngine

基于Matlab软件读取GPS标准格式Rinex文件的新方法基于Matlab软件读取GPS标准格式Rinex文件的新方法(A new method to read the GPS standard Matlab software-based file format Rinex)

模块化多电平（modular multi-level control，MMC）matlab例程，仿真实例(Modular multi-level (modular multi-level control, MMC) matlab routines, simulation examples)

编程,逆向及数据分析 编程逆向及数据分析. :数据分析的几个方面的经验总结.(Programming, reverse and data analysis 编程逆向及数据分析. Programming of reverse engineering and data analysis :数据分析的几个方面的经验总结. : data analysis of several aspects of the experience )

现代数字信号处理 AR（p）模型 matlab程序(ADSP AR(p) model，MATLAB)

POS inventory system

START RAT远控源码START RAT远控源码START RAT远控源码START RAT(START START RAT RAT far point source code remote control the source code START START RAT RAT far point source code)

在算法设计中实用Strategy模式，实用Controller实现模块间通信，实用Singleton设计模式，实用模型-视图-控制器架构设计应用程序，程序内容是颜色空间转换(colorDetection.h colorDetection.cpp colordetector.cpp correspond to Recipe: Using the Strategy Pattern in Algorithm Design )

利用MATLAB设计的小型数字图像处理系统(MATLAB design of small-scale use of digital image processing system)

克里格法（Kriging）是地统计学的主要内容之一，从统计意义上说，是从变量相关性和变异性出发，在有限区域内对区域化变量的取值进行无偏、最优估计的一种方法；从插值角度讲是对空间分布的数据求线性最优、无偏内插估计一种方法。(Kriging (Kriging) is one of the main geostatistics, statistically speaking, is the variable correlation and variability within a limited area of the value of regionalized variables unbiased, best a method for estimation speaking the perspective of a data interpolation spatial distribution of solving linear optimal, unbiased estimate of the interpolation method.)

空间插值方法汇总Inverse Distance to a Power（反距离加权插值法） Kriging（克里金插值法）Minimum Curvature（最小曲率）Modified Shepardd s Method（改进谢别德法）Natural Neighbor（自然邻点插值法）Nearest Neighbor（最近邻点插值法）Polynomial Regression（多元回归法）Radia (Spatial interpolation method summary Inverse Distance to a Power (inverse distance weighted interpolation) on Kriging (kriging) Minimum Curvature the (smallest curvature) Modified Shepardd s Method (improved Xiebie De law) Natural Neighbor (natural neighbor interpolation) Nearest Neighbor (nearest neighbor interpolation) Polynomial the Regression (multiple regression) Radia)