MATLAB(library)

matlab课件，主要介绍matlab的基本用法(matlab courseware)

航路仿真的GUI实现，即爬升，巡航，下降阶段，输入速度！(Route simulation GUI realize that climb, cruise, descent phase, input speed!)

基于matlab的zoeppritz反演程序,可用于AVO反演( This function computes the particle displacement reflection and transmission coefficients (the relative displacement amplitudes) for a solid-solid interface, a liquid-solid interface, a solid-liquid interface, and a liquid-liquid interface.)

MSK信号的模拟仿真代码。可以适合与研究MSK信号的人。(MSK signal simulation code. MSK signal can be suitable for people with research.)

有一个3阶对象，要求使用继电自整定方法对其实施自适应PID控制。 要求： 1、选择采样时间0.1s，把对象离散化。 2、加继电（开关）控制，测量对象的Tc,Kc。 3、利用ZIEGLER-NICHOLS 公式表，确定PID参数。 4、实现闭环控制。 5、根据调节效果，修正PID参数。 (A 3-order object, requires the use of relay self-tuning PID control methods on the implementation of adaptive. Requirements: 1, select the sampling time 0.1s, the discrete objects. 2, plus relay (switch) control, measurement object Tc, Kc. 3, using ZIEGLER-NICHOLS formula table, determine the PID parameters. 4, closed loop. 5, according to moderating effect, the amendment PID parameters.)

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

this is a important doc

ABAQUS uhard子程序的相关资料介绍，可以用来学习ABAQUS(Uhard ABAQUS subroutine of the relevant information, can be used to learn ABAQUS)

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 下文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 里面包括三个源程序，和一份实验报告，里面有算法的详细分析和情景假设。(Application of target tracking radar data processing background, that is the search radar to the target and record the location of the object data to the target location of the measurement data (referred to as Plot) for processing, automatic track formation, and the target in the next time to predict the location. Briefly discussed below, using Kalman filtering to predict a single target track, and the help of Matlab simulation tools, experimental results for evaluation. Which consists of three source code, and a test report, which has a detailed analysis of the algorithm and the scenario assumptions.)

CR行列式计算几何非线性空间杆系结构的通用matlab程序(CR determinant geometrically nonlinear space truss structures generic matlab program )