Xamarin-Essentials

上传自己平时学习matlab的一些零碎知识，正式这些一点一滴的积累，才使我们能够一步步的接近成功。(Upload your own learning matlab usually some fragmentary knowledge of official accumulation of these little by little, that we have a step by step approach to success.)

mimo－ofdm系统仿真，matlab源程序(mimo- ofdm system simulation, Matlab source)

multivariate analysis tools

基于Matlab三维数据点三角剖分方法研究，关于matlab在重建中的应用研究，有参考价值(Based on Matlab 3 d data point triangulation method, some research on the application of Matlab in the reconstruction, have reference value )

Particle Swarm Optimization Protocol

说明：  LMI编程实例，可行性问题，最优控制，次优化问题等求解(LMI programming examples, optimal control, etc)

Lorenz系统的SIMULINK仿真模型(SIMULINK Lorenz System Simulation Model)

一篇关于802.16信道的文章，几个通信大牛的力作，里面还包括对于SUI信道的matlab基本仿真程序。相信对于搞无线的人，这篇文章的价值不言而喻！(a 802.16 Channel on the article, several large cattle communication ability, which also includes SUI channel for the basic Matlab simulation program. Believe engage in the wireless, the value of this article is self-evident!)

随着计算机技术的迅速发展和越来越广泛深入地应用于国民经济和社会生活的各个方面，随着 软件系统的规模和复杂性与日俱增，软件的生产成本和软件中存在的缺陷和故障造成的各类损失也 大大增加，甚至会带来灾难性的后果。软件质量问题已成为所有使用软件和开发软件的人关注的焦 点。由于软件是人脑的高度智力化的体现和产品这一特殊性，不同于其他科技和生产领域，因此软件与生俱来就有可能存在着缺陷。(With the rapid development of computer technology and the more extensively used in the national economy and social life in all its aspects, with the growing size and complexity of software systems, software production costs and software defects and faults caused various types of losses also increased significantly, even catastrophic consequences. Software quality has become the focus of all those who use the software and software development concern. Because the software is highly intellectual expression and product of the special nature of the human brain, unlike other areas of technology and production, so the software may be born with a defect exists.)

说明：  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)