matlab

这是一本全面介绍MATLAB建模与仿真的书籍，很难找的，在学校图书馆找到的，赶紧下(This is a comprehensive introduction to modeling and simulation of MATLAB books, hard to find in the school library to find and quickly under)

说明：  关于matlab gui的能读取avi文件的例子，很用啊(About matlab gui s can read avi file example, it is with ah)

Matlab 万年历 程序介绍 　　　本程序主要是一个时钟软件，包括一个时钟表和一个日历。程序自动运行时，显示系统当前日期和时间，日期和时间可以由用户自行更改。 二、程序主要构成 　　　本程序由一个主程序myclcok及两个子函数rili和ck。主程序myclcok主要建立主窗口的菜单及相关的功能编辑。rili函数用于建立日历界面，ck函数用于建立时钟界面。(Matlab calendar Program introduced This program is a clock software, including a time-clocks and a calendar. Program to run automatically display the current system date and time, date, and time can make changes by the user.)

基于ANSYS APDL二次开发的航电设备的动力学扫频分析，载荷输入条件为交越频率以下为恒定位移，交越频率以上为恒定加速度。我将加速度输入转换为位移输入，将位移和加速度两段输入载荷统一按照位移载荷输入，将位移存入表数组，利用ANSYS APDL自动将扫频范围内的位移载荷存入表数组，并循环加载计算，实现了该工程结构的正弦扫频振动分析。(Kinetic sweep analysis, load input conditions of secondary development based on ANSYS APDL avionics for the crossover frequency less constant displacement, above the crossover frequency is constant acceleration. I will convert the input displacement input acceleration, displacement and acceleration loads unity in accordance with the displacement of the two input load input, the displacement of the array into the table using ANSYS APDL automatically load displacement within the sweep range of the array into the table, and cyclic loading calculated to achieve a swept sine vibration of the project structure.)

matlab低通滤波器，可直接在matlab运行，显示()

三维六光束光镊光阱力仿真gui,可计算介质中球形粒子所受到的光阱力(Three six beam optical tweezers optical trapping force simulation gui, spherical particles can be calculated by the medium of light trapping force)

evolutionary algorithm to optimize of fitness functions

本文中介绍了matlabpdetool在求解偏微分方程中的应用，不错的入门资料(This article introduces the matlabpdetool in solving partial differential equations in the application of good introductory information)

说明：   此函数用于研究Mallet算法及滤波器设计 此函数用于消噪处理 分解的高频系数采用db9较好,即它的消失矩较大 分解的有用信号小波高频系数基本趋于零 对于噪声信号高频分解系数很大，便于阈值消噪处理(this function for research Mallet filter algorithm design and function for Denoising decomposition of high-frequency coefficients Terminal better that it's vanishing moments larger decomposition of useful signal, high-frequency coefficients tends to zero for high-frequency signal noise decomposition coefficient great ease threshold Denoising)

Matlab source code Chapter3 from Makarov book