MATLAB-Commonly-used-functions

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MATLAB已成为多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型应用软件，目前的最高版本是6.0版。本教程以6.0版为基础，从高等工科院校的数学课程出发，提供了使用MATLAB的实践性指导。本教程以教学的手段，系统详细地介绍了MATLAB在高等数学、数值分析、函数作图、线性代数、概率统计和优化理论中的应用，并配备了大量的例题，让读者能很快掌握MATLAB的运算技巧。 本教程按逻辑编排，自始至终用实例描述，既适用于初学者自学，也适用于高级MATLAB用户。可作为高等数学、数值分析、工程数学、数学建模、线性规划等课程的教学参考书，也可作为科技工作者学习和使用MATLAB的参考书，还可作为数学实验的教学用书，特别适合用作理工科大学生学习数学课程的教学辅导书。 本教程的光盘内容详尽、实例丰富：包含了MATLAB实例的源文件，函数/命令及注解，程序实例。(MATLAB has become a multi-disciplinary, multi-working platform powerful, user-friendly, language, natural and open and strong large-scale software applications, currently the highest version is 6.0. This tutorial with version 6.0 as the foundation, the mathematics curriculum in engineering colleges starting to provide a practical guide for using MATLAB. This tutorial with a medium of instruction, the system described in detail MATLAB in advanced mathematics, numerical analysis, function graphing, linear algebra, probability and statistics and optimization theory, application, and is equipped with a large number of Example, so that readers can quickly grasp the MATLAB computing skills. This tutorial logically arranged from beginning to end examples describing both self-study for beginners, but also to advanced MATLAB users. Can be used as advanced mathematics, numerical analysis, engineering, mathematics, mathematical modeling, linear programming courses teaching reference books, but )

说明：  OFDM全系统仿真代码，包括卷积编码，调制解调，四倍过采样(OFDM system-wide simulation code, including the convolution coding, modulation and demodulation, four times oversampling)

采用小波相邻系数降噪，然后用改进的局域均值分解对滚动轴承进行特征提取，得到特征向量(Using adjacent wavelet coefficients of noise reduction, and then use the improved local mean decomposition characteristics of rolling bearing are extracted, get the feature vector)

对于离散控制系统的自适应滑膜控制器的matlab仿真设计(Synovial adaptive controller for discrete control system matlab simulation design)

采用小波对信号分解和去噪。分解层数和使用的小波可以自己定义然后阈值去噪(Wavelet is used to decompose and denoise signals. The decomposition level and the use of wavelet can be defined by itself and then threshold denoising)

实现图像morphing的matlab代码(Image morphing realize the matlab code)

雷达电离层污染校正分段多项式新算法，用于校正污染(radar psp-new)

This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M. Mendel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010. All following functions were tested in Matlab 7.4.0 (R2007a) under Windows 7: centroidIT2: Compute the centroid of an IT2 FS. EKM: Implement the Enhanced KM algorithms. IA: Implement the Interval Approach for word encoding. mainJPL: Illustrate IA and EIA using the JPL dataset. mainWeb: Illustrate IA and EIA using the Web dataset. mg: Compute the membership grades of a vector of numbers on a T1 FS. plotFigures: Plot Figs. 3.18, 3.19 and 3.20 in the book. plotIT2: Plot an IT2 FS. Last modified by Dongrui Wu (dongruiw@usc.edu), May 2, 2010.

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分(FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clusters with the greatest similarity between the object, and the similarity between different cluster minimum. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for the data are divided into hard and fast, and FCM is a soft fuzzy partition)