OneSimulationof2x2MIMO

说明：  matlab中编的基于遗传算法的转子故障特征选择的小程序，新手程度，仅供参考(matlab in the series based on genetic algorithm rotor fault feature selection of small programs, novice level, for reference only)

实现通信抗干扰的跳频通信，希望对初学通信抗干扰的同志有所帮助(To achieve interference rejection for frequency hopping communication, hope to comrades beginner help communication interference)

说明：  防止电脑泄密的常用方法,设置简单，通俗易懂，功能强大。(To prevent the disclosure of the commonly used computer methods, to set simple, user-friendly and powerful.)

说明：  matlab下的核磁共振可视化，展示了自发弛豫过程，物理图像将变得清晰，对于理解核磁共振有一些帮助(matlab visualization under magnetic resonance imaging demonstrated the spontaneous relaxation process, the physical picture will become clear, for some help understanding of nuclear magnetic resonance)

Code for popular gist features

it contains all the details of the following software requirement specification.

说明：  knn分类程序，基于matlab开发 (Commission classification procedure based on the development of Matlab)

file includes least square and least mean in matlab

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)

matlab教程对于初学者有一定的帮助，我也是一个初学者，希望能互相学习互相帮助(Matlab for Beginners Guide will help, I am also a beginners hope to learn from each other to help each other)