silinderkulitluar

基于CDD的快速图像算法，适用于修复小面积破损区域。(CDD fast image-based algorithm, applied to repair the damaged area of ​ ​ the small area.)

code for carlike vehicle

this is the file to develop for

基于滑动时间窗的支持向量机软测量建模研究，是一片不错的论文，对做软测量的研究生学子们可以参考(Sliding time window based on support vector machine soft sensor modeling is a good paper, to do a soft measuring graduate students who can refer)

RUGGEDCOM USER GUIDE

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.)

数字信号处理课设：窗函数法设计一个数字带通FIR滤波器(Based digital signal processing class: window function method to design a digital FIR band-pass filter)

说明：  matlab的图形小程序，比较实用，大家一起交流吧(matlab graphic small procedures, more practical and we can work together to exchange it)

系统辨识程序，改进最小二乘法其中包括--两步法(System identification procedures, including improving the least squares method- two-step)

扩频同步时频域二维分布 R=[x,y] surf(R) x:-5:0.1:5 y:-0.01:0.005:0.1(Synchronous time-frequency domain spread spectrum two-dimensional distribution of R = [x, y] surf (R) x:-5:0.1:5 y:-0.01:0.005:0.1)