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实现了用matlab在频域上求离散序列的循环卷积(Achieved in the frequency domain using matlab seeking discrete sequence of circular convolution)

北斗二代B1频点接收机主程序Matlab源代码(BD2B1 Matalab Receiver)

电磁场时域有限差分算法，三维Mur一阶吸收边界条件(FDTD 3D Mur)

Permanence脉冲微分方程程序用matlab模拟种群的灭绝和持续生存(Permanence Impulsive Differential Equation Program Using matlab to Simulate the Extinction and Persistence of Population)

光栅条纹生成模块。适用于结构光三维轮廓术(FTP、PMP等)及其它光学实验。本代码已形成guide界面，简洁、直观、可修改，能满足数字投影光栅的绝大部分要求。(Grating stripe generated module.Suitable for structured light three-dimensional profilometry (FTP, PMP, etc.).This code has formed guide interface, convenient, intuitive, and can be modified, meet the demand of the vast majority of digital projection grating.)

Matlab与VC的接口设计。本文档详细介绍了如何在matlab环境下导出VC中支持的源代码。(Matlab and VC in the interface design. This document details how to export a VC in the matlab environment to support the source code.)

半桥型模块化多电平换流器开环逆变仿真，一个桥臂12个模块，三相逆变器(Open loop inverter simulation of half bridge modular multilevel converter)

利用matlab实现图像的拼接，经过验证时可用的，可以作为图像处理简单图像拼接的应用(Using matlab to achieve image stitching, proven when available, can be used as a simple image mosaic image processing application)

这里我们针对三级固体火箭进行研究，主要考虑每一级发动机工作时推力 和比冲 与发动机试车存在摄动偏差（相差 ）时所产生火箭关机点时刻的状态偏差。火箭的飞行的动力学方程可建立在地面发射坐标系中，火箭的第一级、第二级和第三级按照固定的俯仰角程序飞行，第二、三级飞行时已在大气层外，此时可忽略气动力的影响。(Here we study for three solid rocket, the main consideration at every level when the engine thrust and state arising the moment the rocket off point perturbation deviation (difference) in the presence of specific impulse and engine test bias. Outside of the rocket flight dynamics equations can be established on the ground coordinate system launch, the rocket s first stage, the second and third stages according to a fixed elevation angle of flight procedures, and the second, when the third flight already in the atmosphere, this when can ignore the effects of gas dynamics.)

蚁群算法是一种模仿蚁群行为的仿生优化算法，其实现机理包括两个基本阶段：适应阶段和协作阶段。在适应阶段，各可行解根据积累的信息不断调整自身结构，路径上经过的蚂蚁越多，信息量越大，则该路径越容易被选择：时间越长，信息量越小。在协作阶段，各可行解之间通过信息交流，以期望产生性能更好的解。(Ant colony algorithm is a mimic ant colony behavior of bionic optimization algorithm, its implementation mechanism includes two basic stages: adaptation and collaboration. In adaptive phase, the feasible solution according to the accumulated information constantly adjust their structure, path through the more the ants, the greater the amount of information, it is the easier path is chosen: the longer the time, the smaller the amount of information. The collaboration stage, through the exchange of information between the feasible solution, expecting to generate better solutions.)