DWT_DM

里面包含了混沌系统中常用的类型，基本能满足仿真需求，在此基础上可以进行少量修改以实现相应功能，对于论文写作有非常大的帮助(Chaos toolbox, very easy to use to provide function interface, simply call can)

ALVINN road follower data set

说明：  选题二、基于matlab简单图像处理系统用中值滤波方法消除噪声(Two topics, based on matlab image processing system with a simple median filter to eliminate noise)

Using Weka s feature selection algorithm X, the features on current trunk, each colum is a feature vector on all instances, and each row is a part of the instance Y, the label of instances, in single column form: 1 2 3 4 5 ... a.E = weka.attributeSelection.SymmetricalUncertAttributeSetEval a.S = weka.attributeSelection.FCBFSearch -D false -T -1.7976931348623157E308 -N -1

关于非线性离散系统辨识，解耦，恢复原信号，BP神经网络的整个训练过程。( Nonlinear discrete system identification, Decoupling, restore the original signal, The entire training process BP neural network.)

详细介绍了永磁同步电机的控制策略和控制算法。采用的是自抗扰控制算法。(The control strategy and control algorithm of permanent magnet synchronous motor (PMSM) are introduced in detail. The auto disturbance rejection control algorithm is used.)

关于VC++和MATLAB的混合编程之神经网络工具箱 (About VC++ and MATLAB mixed programming of the Neural Network Toolbox)

说明：  《MATLAB数字信号处理85个实用案例精讲:入门到进阶》特点是主要通过案例说明在数字信号处理基础部分编程中常出现的错误和解决方法。《MATLAB数字信号处理85个实用案例精讲:入门到进阶》适用于数字信号处理的初学者，亦可供高年级本科生、研究生和科研工程技术人员参考。("Matlab Digital Signal Processing 85 Practical Cases: Introductory to Advanced" is characterized by cases that illustrate the errors and solutions that often occur in the basic programming of digital signal processing. "Matlab Digital Signal Processing 85 Practical Cases: Introduction to Advanced" is suitable for beginners in digital signal processing, and can also be used as a reference for senior undergraduates, graduate students, and scientific research and engineering technicians.)

主成分分析和偏最小二乘SquaresPrincipal成分分析（ PCA ）和偏最小二乘（ PLS ） ，广泛应用于工具。此代码是为了显示他们的关系，通过非线性迭代偏最小二乘（ NIPALS ）算法。 (Principal Component Analysis and Partial Least SquaresPrincipal Component Analysis (PCA) and Partial Least Squares (PLS) are widely used tools. This code is to show their relationship through the Nonlinear Iterative PArtial Least Squares (NIPALS) algorithm. )

信号分析与处理中的卷积，适用于合成地震记录(Signal analysis and processing of convolution, for synthetic seismograms)