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This book presents the MATLAB computer programming system as a problemsolving tool for scientists and engineers who have no prior knowledge of computer programming. It is based on a teach-yourself approach readers are frequently invited to experiment for themselves in order to discover how particular constructs work. The text was originally written as a companion to a hands-on course at the University of Cape Town. Most of the students taking the course had little or no computing experience and came from disadvantaged backgrounds. Consequently the book assumes that readers have no knowledge of computing, unlike most similar books on MATLAB.((2007 Elsevier)Essential Matlab for Engineers and Scientists(3rd Edition))

A simple source code to learn Matlab GUI

此程序用于在GUI界面下计算光流，对于研究流的学者有重要参考价值..(this code demenstrates the computation of optical flow.)

Matlab+PID控制资料 基于MATLAB下的PID控制仿真(Matlab+PID control data based on MATLAB simulation of PID control)

粒子滤波小程序，帮助理解粒子滤波理论，内有两个小实验和若干种粒子滤波实现程序。(Small particle filter procedure to help understand the particle filter theory, there are two small experiments and particle filter realization of several procedures.)

支持向量机(SVM)是数据挖掘中的一个新方法，能非常成功地处理回归问题(时间序列分析)和模式识别(分类问题、判别分析)等诸多问题，并可推广于预测和综合评价等领域，因此可应用于理科、工科和管理等多种学科。目前国际上支持向量机在理论研究和实际应用两方面都正处于飞速发展阶段。它广泛的应用于统计分类以及回归分析中. 支持向量机属于一般化线性分类器.他们也可以认为是提克洛夫规则化（Tikhonov Regularization）方法的一个特例.这族分类器的特点是他们能够同时最小化经验误差与最大化几何边缘区.因此支持向量机也被称为最大边缘区分类器. (Support vector machine, the source code)

说明：  含有通常所需的自适应滤波的AR预测过程模型，能够顺利的运行！(this file has the adaptive filter matlab source code ,you can run it smoothly)

模糊聚类程序包，fcm、kmeans等很详细(Fuzzy clustering packages, fcm, kmeans and so very detailed)

采用matlab编写的，基于层次分析法求解权重的例子，可以输入互反矩阵，直接求解权重(Using matlab prepared, based on the weight of AHP for solving the example, you can enter reciprocal matrix, directly solve the weights)

常用的matlab程序 常用的matlab程序 常用的matlab程序 常用的matlab程序(Common procedures commonly used matlab matlab matlab program procedures commonly used matlab program)