compared_two_groupofnumbers

这是计算机拟和方法的例程集锦,对数学计算和建模非常有用.(This is a computer and methods to routine collection of mathematical calculations and modeling very useful.)

FFT简称为快速傅里叶变换，是DTF处理的一般实现方法，一维距离成像就是对差拍信号进行FFT变换，变换所得到的幅值图像横坐标为距离信息，纵坐标为幅值信息，通过一维仿真，我们可以看到目标距离相对应的幅值信息。(FFT referred to as fast Fourier transform, is DTF processing general method, a d imaging is difference from pat signal FFT transform)

T-S预测控制,matlab仿真程序，需要的朋友可以看看(TS predictive control, matlab simulation program, you need friends can see)

lingo程序，此程序为装配线平衡问题的程序。(lingo (equilibrum))

eyediagram of qpsk signal

Forward Modeling 1D using matlab

这是一个matlab主程序，介绍的是几种混沌系统吸引子的图像的主程序(This is a matlab main program, introduced several chaotic attractor is an image of the main program)

说明：  如果对实际工程结构作简化处理，建立其动力学模型，并确定系统的质量、刚度、阻尼参数，便可以用多种方法建立系统的动力微分方程。常用的方法有直接 法、影响系数法、拉格朗日法以及有限元法等。拉格朗日法是从能量的观点建立系统的动能T、势能U和功W之间的标量关系，是研究静、动力学问题的一种方法。如果在选定运动坐标以后，能够设法求得坐标相对应的质量矩阵和刚度矩阵，就可以用影响系数法建立多自由度系统运动微分方程[4]。本文采用拉格朗日法建立了1/4车辆几何模型。(If the actual engineering structure is simplified, its dynamic model is established, and the mass, stiffness and damping parameters of the system are determined, the dynamic differential equation of the system can be established by various methods. The commonly used methods are direct method, influence coefficient method, Lagrange method and finite element method. Lagrange method is a method to study the static and dynamic problems, which is to establish the scalar relation among kinetic energy t, potential energy u and work W from the point of view of energy. If the mass matrix and stiffness matrix corresponding to the coordinates can be obtained after the motion coordinates are selected, the differential equation of motion of the multi degree of freedom system can be established by the influence coefficient method [4]. In this paper, 1 / 4 vehicle geometry model is established by Lagrange method.)

a memo how to right a matlab code

象群游牧算法，求解函数优化问题及多目标优化问题。(Elephant herding optimization algorithm is used to solve function optimization problems and multi-objective optimization problems.)