cluster

fuzzy applied local statistic filter

非常好的matlab的仿真教程，Simulink电路分析应用，有需要的可以看看。(Very good Matlab simulation tutorial, Simulink circuit analysis applications, there is a need to look.)

层析分析法模型，能实现评价权重的确定，并进行一致性检验(AHP-Analytic Hierarchy Process)

说明：  图像分割 模糊聚类分割算法 通过MATLAB实现的C聚类分割算法，输入分割类别数。可以得到分割后的图像对比(Image segmentation algorithm based on fuzzy clustering partition)

LMS toolbox LMS的工具箱。 内有多个有关LMS和RLS的m文件！(the toolbox. There are a number of LMS and RLS m documents!)

两个圆求交点，得到交点坐标，程序简单易懂(The intersection of two circles seeking to obtain the coordinates of the intersection, the program is simple and easy to understand)

Nginx Markdown module 一个nginx模块，可以将网页中的markdown语法自动转义为html,无需引入其他支持库，执行效率高。 使用--add-module编译Tengine可用dso_install动态加载。 设置实例(http块) location ~ /*.md { mdfilter on mdfilter_utf8 on } // Use Handler module location ~ /*.mkd { mdhandler mdhandler_output html }(Nginx Markdown module a nginx module can be a Web page markdown syntax is automatically escaped as html, without introducing additional support libraries, and high efficiency. Use- add-module compiled Tengine available dso_install dynamic loading. Set the instance (http block) location ~ /* md {mdfilter on mdfilter_utf8 on }.// Use Handler module location ~ /* mkd {mdhandler mdhandler_output html }.)

一些matlab中很有用的源码程序，对于初学者学习很有帮助(matlab )

主要用于校正图像的畸变，用matlab编写的，很实用(Mainly used to correct image distortion, written with matlab, very practical)

本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。 (This book is one of MATLAB application technology Series on the latest MATLAB Wavelet toolbox in Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multi-resolution analysis and orthogonal wavelet transform, wavelet transform and multi-sampling filter banks, two dimensional wavelet transform and image processing and the basic principle of wavelet packet etc part 2 highlights in detail using wavelet analysis toolbox, including a graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform MATLAB implementation of wavelet packet transform MATLAB realize, signal and image noise reduction and compression, as well as to enhance the latest signal and image of the wavelet transform and other content part 3 introduces the application of bas)