C-CPP

学习C++ template的好资料，详细介绍了template的特性和用法(C++ tmeplate)

一种时频域联合捕捉主动声纳信号的方法.介绍了一种可应用于被动声纳的时频域联合捕捉主动声纳信号的方法及其工作流程。仿真相同噪声环境下使用该方法的发现距离与主动声纳探测距离,仿真结果表明使用该方法的发现距离远超过主动声纳探测距离,使用该方法可实现对目标的远程发现。(A time-frequency domain joint capture of active sonar signals. Introduced passive sonar, which can be applied when the frequency domain joint to capture active sonar signal its workflow. The discovery of the method used in the simulation of the same noise environment distance active sonar detection range, simulation results show that using the method found distance than active sonar detection range, the use of this method can be found remote target.)

install code to the document,and replease ,make project

计算三层框架的损伤前后响应的对比，对于结构健康监测比较实用(Three frames before and after damage calculation response contrast, more practical for structural health monitoring)

Matlab_ and _VC + + mixing programming process explanation (including part of the problem solutions)(Matlab_ and _VC++ mixing programming process explanation (including part of the problem solutions))

The horse moves on a chessboard so that the whole house of sacrifice and not refuse any house twice. be fun.

this code is solution of optimal control

- Stone column play important role in infrastructure, improving soft soil. The behaviour of stone column, however, remains far well understood

windows 获取网卡的描述信息 windows 获取网卡的描述信息(Windows for the description of the card information Windows for the description of the card information)

OpenCV的全称是：Open Source Computer Vision Library。OpenCV是一个基于（开源）发行的跨平台计算机视觉库，可以运行在Linux、Windows和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成，同时提供了Python、Ruby、MATLAB等语言的接口，实现了图像处理和计算机视觉方面的很多通用算法。(OpenCV s full name is: Open Source Computer Vision Library. OpenCV is based on (open) issued a cross-platform computer vision library, you can run on Linux, Windows and Mac OS operating systems. It is lightweight and efficient-++ class is composed of a series of C functions and a few C, while providing an interface to Python, Ruby, MATLAB and other languages​ ​ , to achieve a lot of generic algorithm for image processing and computer vision.)