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C编写的QPSK调制解调，很有用，值得学习，代码编写很规范(Written in C QPSK modulation and demodulation, very useful, it is worth learning, very standardized coding)

负责火星的一个低轨道空间站的设计。为简化结构，该空间站由一系列密闭的立方体（airtight cubical modules ACM）组成，这些ACM曾连接在一起。困扰你的一个问题是致命的病菌也许留在火星的上层大气中。因为空间站有时需要在上层大气中飞行，所以急需在ACM的各个接触面进行额外的防护，无论是边对边还是面对面，连接是密闭的，所以没有细菌能够进入。一个ACM与另外一个ACM共享的面不需要防护。如果在每个ACM每个面上都加防护，花费巨大。因此，需要知道ACM额外防护的确切面数目(Responsible for the design of a low-orbit space station on Mars. In order to simplify the structure of the space station by a series of closed cubes (airtight cubical modules ACM) composed of these ACM had together. One problem is bothering you deadly germs might stay in the upper atmosphere of Mars. Because the station is sometimes necessary to fly in the upper atmosphere, so urgently needed in all contact surfaces of the ACM additional protection, either face to face or side-to-side, the connection is closed, so no bacteria can enter. An ACM ACM shared with another surface does not need protection. If you have added protection on each side of each ACM, costly. Therefore, the need to know the exact number of additional surface protection ACM)

对于OFDM初学者很有帮助，是很好的学习程序哦，可以学会用matlab仿真(the study of )

高阶累积量的music算法，包括多种music算法之间的对比分析(Cumulant music algorithm)

Visual C Project Case Navigation source code ,Visual C++,source in ebook.(Visual C source Navigation Project co Case de, Visual C source in ebook.)

分数阶傅里叶变换matlab的实现，可以看看的(Fractional Fourier transform matlab realization, you can see the)

beamformer code using c lang

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.)

目标追踪小程序！是入门级的基础基础小程序。。。非常简单，适合刚刚接触的新手或学生。(the source code of tracking)

适合MATLAB初学者，有关符号说明部分，可以更快掌握一门语言(MATLAB for beginners, the relevant symbol Description section, you can quickly master a language)