捷联惯导姿态位置速度高度全解算

灯光中央控制系统的设计应用,是一份非常经典的灯光控制应用领域的文档(灯光中央控制系统的设计应用)

该程序教你如何在vc中调用matlab，包括使用心得(Teach you how to using matlab function in vc++)

这是一个应用一致性几何绕射理论编写的简单程序，初学学者可作为参考(This is a simple program UTD written application, can be used as a reference for beginners and scholars)

Matlab教程第六章案例，时间序列分析与计量(Matlab Guide Chapter cases, time series analysis and measurement)

制作按钮。在SDK平台下运行，任意制作按钮，非长好用的(Production button. Run in the platform SDK, arbitrary production button, non-long-to-use)

从txt文件中获取数据，然后用四边算法处理，其中涉及matlab文件和mathematica文件(Txt file to get the data, and then use the four sides of the algorithm processing, which involves matlab file and mathematica file)

c++实现的通信录，实现添加、删除、查找、修改等功能(communications recorded c++ implemented add, delete, search, modify functions)

说明：  一些非常有用的遗传算法函数，可以和大家一起分享学习一下。(Some very useful genetic algorithm function, you can learn about and share with everyone.)

有关机动目标跟踪，卡尔曼滤波相关的资料，对从事卡尔曼滤波研究，机动目标跟踪的朋友有参考价值 (The maneuvering target tracking, Kalman filtering relevant information, engaged in Kalman filtering, target tracking friends have reference value)

说明：  在过去的几年中, 背包问题吸引了众多理论研究人员和应用工作者的注意力, 因而得到了广泛而深入的研究。理论方面, 研究兴趣主要来自于该问题简单的结构, 而这种特点既可以深入探索许多组合特性, 又可以通过解决一系列背包子问题来最终求解更为复杂的优化问题。实践方面, 这些问题可以表述许多工业场合的应用, 最典型的应用包括货 物装载、存储分配和资本预算等等。在寻找背包问题可行解的过程中, 出现了众多的算法, 本文是利用MATLAB 程序求背包问题可行解的一种算法。(In the past few years, knapsack problem has attracted many researchers and application of theoretical attention of workers, which has been extensive and in-depth study. Theory, research interest mainly from the simple structure of the problem, and this characteristic combination of both in-depth exploration of many features, but also can solve a series of knapsack sub-problems to solve more complex final optimization problem. Practice, these problems can be expressed in many industrial applications where the most typical applications include cargo loading, storage, distribution and capital budgets, and so on. Knapsack problem in finding feasible solutions in the process, there have been many algorithms, this is the knapsack problem using MATLAB program seeking a feasible solution algorithm.)