DFT

matlab入门教程，主要介绍了基本运算与函数，流程控制，环境设置及二维画图等。(matlab Getting Started tutorial introduces the basic operations and functions, process control, environmental settings, and two-dimensional drawing and so on.)

说明：  关于雨点的散射程序，希望和有关同行探讨探讨(The scattering process on the rain, hope, and the study of peer)

FUAL IMAGE DENOSIMNG MATLAB CODE

自平衡小车卡尔曼滤波程序，ADXL220 可以站立前进倒退(Self-Balancing Robot Kalman filtering procedures, ADXL220 can stand forward backwards)

实现ID3算法，在结果中以树表示出来。决策树是对数据进行分类，以此达到预测的目的。该决策树方法先根据训练集数据形成决策树，如果该树不能对所有对象给出正确的分类，那么选择一些例外加入到训练集数据中，重复该过程一直到形成正确的决策集。(ID3 algorithm to achieve, in the results that come out to the tree. Decision tree is to classify the data, thus achieving the purpose of prediction. The decision tree training set of data according to the formation of the first decision tree, if the tree can not give the correct classification of all objects, then select a number of exceptions to the training set data, repeat the process until the correct decision set.)

mc clousky implementation algoritm

Particle Swarm Optimization Toolbox (PSO)

常见滤波器Matalab程序,设计高通滤波器 ,设计低通滤波器 (Common filter Matalab procedures, design of high-pass filter, low pass filter design)

本书是The IMA Volumes in Mathematics and its Applications系列的一本，由Springer-Verlag发表，用于交流每年数学规划算法方面的新成果，希望对于广泛的科学团体有帮助。 许多工程，运筹，和科学应用包括离散或连续的决策变量，以及这些决策变量的非线性关系。这种 Mixed-integer nonlinear programming （MINLP，混合整数非线性规划），兼具来自非线性问题的非凸函数优化，以及来自整数的离散优化，这两方面的挑战。这种问题是优化问题里面建模最灵活的类型之一，但是因为它范围极广，在最一般的情况下，它是几乎无法解的。然而，日渐壮大的研究者和程序员队伍，包括化学工程，运筹研究者，工业工程师，机械工程师，经济学家，统计学家，计算机科学家，运营经理，和数学程序员，都对求解大规模MINLP问题产生兴趣。(Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners ― including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers ― are interested in solving large-scale MINLP instances.)

机器人控制系统的设计与Matlab仿真--第二章代码 机器人PID控制(Robot Control System Design and Matlab simulation- chapter code PID control robot)