DSB-SC-simulink

用matlab编写的特征系统实现法ERA程序(Characteristics of the system ERA program)

一种基于matlab的神经网络编码特征选择。特征点提取。(Based on neural network matlab coding feature selection. Feature point extraction.)

先进 PID 控制及其 MATLAB 仿真（教材+相关程序） 刘金琨 著 电 子 工 业 出 版 社 内 容 简 介 本书从 MATLAB 仿真角度系统地介绍了 PID 控制的基本理论、基本方法和应用技术，是作者多年来从事控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的新成果。 全书共分十章，包括连续系统和离散系统的 PID 控制，常用数字 PID 控制，专家 PID和模糊 PID 控制，神经 PID 控制，遗传算法 PID 控制，多变量解耦 PID 控制，几种先进的PID 控制，灰色 PID 控制，伺服系统 PID 控制，PID 实时控制，每种方法都通过 MATLAB 仿真程序进行了说明。本书各部分内容既相互联系又相互独立，读者可根据自己需要选择学习。本书适用于从事生产过程自动化、计算机应用、机械电子和电气自动化领域工作的工程技术人员阅读，也可作为大专院校工业自动化、自动控制、机械电子、自动化仪表、计算机应用等专业的教学参考书。(advanced PID control and MATLAB (materials related procedures) with the electronics industry, Hangzhou Press Description of the book from the perspective of MATLAB simulation system introduced PID control of the basic theory, Basic methods and techniques, is the author of control systems for years to teaching and research work at the crystallization Meanwhile at home and abroad into the peer in recent years has made new achievements. The book is divided into 10 chapters, including discrete and continuous system of PID control system, commonly used digital PID control, Expert PID and fuzzy PID control, neural PID control, genetic algorithm PID control, Multivariable decoupling PID control, several advanced PID control, gray PID control, PID control servo system, PID control in real time, ea)

分别使用penalty,Brige-Massart和缺省阈值对信号降噪(Respectively using penalty, Brige-Massart and default noise reduction threshold to denoise)

对复小波提取高频及低频的系数 并对相应的实小波的系数也进行了提取(Extraction of complex wavelet coefficients of high frequency and low frequency And the corresponding real wavelet coefficient were extracted )

用matlab实现无模型自适应控制的点m文件(Model free adaptive control of the point m file with matlab)

matlab编程ppt文件，初级工程师入门都需要的。(matlab programming )

本资料给出了数字预失真，包络多项式模型的matlab程序(this material include the programs of the EMP model of DPD)

xor problem with matlab

MCMC toolbox for Matlab - Examples These examples are all Matlab scripts and the web pages are generated using the publish function in Matlab. The collection of examples can be downloaded as file mcmcexamples.zip. They use the MCMC toolbox