PWE

Simulation of Gaussian Beam Focused by a Lens Using BPM Paramters suggested for simulation

遗传算法求最优化问题的MATLAB程序实现(MATLAB program to achieve genetic algorithms to optimization problems)

matlab m文件 EM算法混合高斯模型(matlab m file EM algorithm Gaussian mixture model)

pca分类程序，主要用于脑电信号的分类。具有较好的分类精度！(pca classification procedures, mainly for the classification of EEG signals. Has better classification accuracy!)

Matlab to seperate 3 voices

设计一个60阶的滤波器，要求设计的滤波器0~π/8的幅度为1，在π/8~2π/8的幅度为1/2，在2π/8~4π/8的幅度响应为1/4，在4π/8~6π/8的幅度响应为1/6，在6π/8~π的响应为1/8，并且画出理想滤波器和设计得到的理想滤波器的幅度频率和响应进行比较(Design of a 60-order filter designed filter 0 ~~ π/8 the amplitude is 1, the π/8 ~ 2π/8 the amplitude is 1/2, 2π/8 ~ 4π/8 amplitude response is 1/4, 4π/8 ~ 6π/8 the amplitude response of 1/6, 6π/8 ~ π response of 1/8, and draw the ideal filters and design of an ideal filter amplitude frequency and response to compare)

利用KNN最近邻算法，对心音信号进行分割并判断，给出第一心音、第二心音和收缩期、舒张期。(Use KNN nearest neighbor algorithm, the heart sound signal is divided and judgment is given first, second heart sound and systolic, diastolic.)

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)

说明：  详细说明：这是作者自己编写的基于matlab语言的程序设计。遗传算法的函数优化 应用(Detailed Description: This is prepared by the author himself matlab-based program design language. Genetic algorithm function optimization applications)

基于matlab粒子群算法的代码 对学习粒子群算法的人很用(matlab Particle Swarm Optimization)