power_pwm

Matlab m file for solving laser rate equation

为充分发挥MATLAB和JAVA的优势，提出基于两者的混合编程技术。混合编程的关键是数据传输问题，在此采用接口技术。研究了MATLAB和JAVA在本地环境和网络环境下的混合编程方法，通过多个实例说明两者混合编程的过程和步骤(To bring into full play the advantages of MATLAB and JAVA, both based on a mixture of programming. Mixed programming, the key is the issue of data transmission in the use of interface technology. MATLAB and JAVA studied in the local environment and network environment of mixed programming, through a number of examples of mixing the two programming steps of the process and)

本书以MATLAB 7为版本，由浅入深地介绍MATLAB的工作环境、基本语法、数值运算、符号运算、二维和三维图像创建与编辑、高级图形图像处理、句柄图形、图形用户操作接口（GUI）、程序设计与调试、M文件的使用、MATLAB编译器、Simulink交互式仿真集成环境的应用，以及MATLAB的外围功能和应用程序接口等内容；并通过MATLAB在高等数学、信号处理及数字通信、数字图像处理方面的应用，介绍MATLAB在实际中的应用。(Book MATLAB 7 to version, it gradually introduces the MATLAB environment, basic grammar, numerical computation, symbolic computation, two-dimensional and three-dimensional image creation and editing, advanced graphics, image processing, handle graphics, graphical user interfaces operate (GUI ), program design and debugging, M file usage, MATLAB Compiler, Simulink simulation integrated environment for interactive applications, and MATLAB peripheral functions and application programming interfaces, etc. and through MATLAB in advanced mathematics, signal processing, and digital communications, digital image processing applications, the introduction of MATLAB in practical application.)

matlab program is present in the file

this will perform thresholding operation on input image

编写一个函数，它将从由lookup和install维护的表中删除一个变量名 及其定义。(Write a function that will remove a variable name the lookup table and install maintenance Their definitions.)

基于Matlab的边缘检测的研究以及各种算子的对比。(Matlab edge detection based on the research and a variety of comparison operators.)

将线性模型拟合为线性或二次数据。 它是一个演示线性回归的脚本。 有益于学习(Fit a linear model to linear or quadratic data)

GM(1,1)模型 MATLAB(matlab)

说明：  关于在静态EEG中的ERP提取，主要用ICA 工具平台是EEGLAB 工具箱(EEG on the ERP in the static extraction, the main tool platform with the ICA is EEGLAB Toolbox)