PCAfenlei

自己编写的改进ELMAN网络辨识程序.非常实用(I have written procedures to improve the ELMAN network identification. Very useful)

MATLAB经典教程，包括基础、矩阵、程序设计、绘图等几部分。(MATLAB classic tutorials, including the foundation, matrix, programming, graphics and other parts.)

基于matlab的DSSS通信系统设计，有详细的文档设计以及仿真结果(Matlab-based design of a DSSS communication system, a detailed document design and simulation results)

wind turbine simulation

一个基于MATLAB的rician信道仿真程序，对莱斯信道建模的初学者有所帮助(A MATLAB-based rician channel simulation program, Royce channel modeling beginners help)

多元统计分析中用于判别的逐步判别法，用于筛选变量，剔除多余变量的逐步判别的matlab程序(Multivariate statistical analysis for discriminant stepwise discriminant method for screening variables, stepwise discriminant eliminate redundant variables matlab program)

图像融合是在基于matlab条件下运行的，将多幅图片融合。(image fusion)

matlab具体应用，在数字图像处理中常会用到的具体实例，资料中负有源码。(matlab specific applications, the frequently used in digital image processing specific example, the data source in the responsibility.)

《数字图像处理(MATLAB版)》是把图像处理基础理论论述与软件实践方法相结合的第一本书，它集成了冈萨雷斯和伍兹所著的《数字图像处理》一书中的重要内容和MathWorks公司的图像处理工具箱。本书的特色在于它重点强调了怎样通过开发新代码来增强这些软件工具。本书在介绍MATLAB编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等。(Digital image processing (the MATLAB Version) " is the first book of the combination exposition of the basic theory of image processing software practices, integrated Gonzalez and Woods book" Digital Image Processing " book of important content and MathWorks Image Processing Toolbox. The features of this book lies in its emphasis on how to develop new code to enhance these software tools. Introducing MATLAB programming basics, the book tells the story of the main contents of the image processing, including brightness transform, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.)

Lyapunov Exponents using Matlab 2014