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150个matlab样例 可以帮助快速编程(150 matlab sample)

使用VisualStudio2008开发的VC调用matlab的示例小程序。matlab具有较强的数据运算能力，而VC可以提供一个较好的界面，因此把两者结合起来进行混合编程。本代码提供一个较好的显示。(VC call matlab using VisualStudio2008 developed sample applet. matlab has a strong computing power, the VC can provide a better interface, so to combine the two mixed programming. This code provides a better display.)

基于MATLAB的线性调频信号产生和频谱分析，某雷达参数数下的模糊函数及自相关函数仿真分析。，已通过测试。 (MATLAB linear FM signal generator and spectrum analysis, the number of parameters of a radar ambiguity function and autocorrelation function of simulation analysis. , Has been tested.)

雷达定位算法，通过收集三个雷达的数据确定飞行物的坐标位置(Radar positioning algorithm, by collecting three radar data to determine the coordinates of the location of flying objects)

电力系统潮流计算程序，C++程序，电力系统稳态时的小作业(Power flow calculation program, small operations C++ procedures, steady state power system)

使用CRgn对象得到某一特定区域，C++精选学习源码，很好的参考资料。(Use the CRgn object to get a specific area, select learning C++ source code, a good reference.)

qspk程序，MATLAB仿真程序，一体化程序，请自行分文件。(QSPK program, MATLAB simulation, integration program, please make your own files.)

IEEE 802.11ac 协议草案2012年5月版本。正式版本大概是2014年初才能确定。(IEEE 802.11ac draft version of the agreement in May 2012.)

选主元的高斯消元法，用于求解线性方程组。很方便！基于c++开发。(Selected principal component of the Gaussian elimination method for solving linear equations. Very convenient! Based on c++ development.)

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.)