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清华大学OFDM原理性讲座，比较基础。对初学者也许有点用处(Tsinghua University, OFDM principle of lectures basis of comparison. May be of some use for beginners)

A、分析API函数原理 B、自写API函数 C、SYSENTER指令 D、硬编码_emit E、模拟FindWindow函数 (Analysis of A, API function principle B, write API function C, SYSENTER instruction D, hard coded _emit E, simulating FindWindow function )

一个可以查看内存，并且可以编辑内存的小程序(one can view memory, and can edit the memory small programs)

K-MEANS algorithm Input: cluster number k, and contains n data object . Output: the minimum

数据结构关于最小生成树的代码实现，普通的学生作业，很基础，适合初学者借鉴。编写使用c++语言，使用的编程软件是vs2010。

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

说明：  这是一个变电站的监控程序，数据库采用的是sql server7.0(This is a substation of the monitoring program, the database is used in sql server7.0)

一个扫雷应用程序，在VC下开发，用来提高编程水平(A de-mining applications, developed in the VC used to improve the programming level)

包括 基于MATLAB7.0 的NE（拉稀系数） RMSE MSE R2 等评价指标的计算编程程序(Including computing programming procedures of the NE, (diarrhea coefficient), RMSE, MSE and R2 .etc.based the MATLAB7.0)

VS2005调用matlab，适合于初学者学习研究(VS2005callmatlab,for the students who study early)