currentandvoltage

TRAINPSO is a network training function that updates weight and bias values according to particle swarm optimization.

关于turbo码状态转移的matlab仿真程序，详细描述的状态之间的转移关系(Turbo codes on the state transition of the matlab simulation program, a detailed description of the transfer of the state of the relationship between the)

实现curvelet变换的软件包,包括curvelet变换,逆变换等功能(performing curvelet transform and inverse transform)

matlab数字信号与应用源代码5，对初学者有帮助(and application of digital signal matlab source code 5, to help beginners)

MATLAB program with FDTD simulating a gaussian wave incident in the cylinder using absourbing condiction MUR.

基于短时傅里叶变换的对鼾声信号进行分析，可以计算一些判断OSAHS的指标。(snoring analysis based on STFT)

本文件为遗传算法开发代码，并给出开发代码，共大家参考使用(This document is a genetic algorithm development code, and given the development of the code, the use of common reference)

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：  Cachy分布，产生cachy 分布的概率密度，随机数(Cachy distribution)

通过恢复低秩矩阵得到显著性图，其中详细的运用了mean-shift算法，可以很好的了解mean-shift算法的使用，同时还包含了RPCA算法。(Significantly through the recovery of low rank matrix diagram, which detailed the use of mean-shift algorithm, can be a very good understanding of the use of the mean-shift algorithm, also contains RPCA algorithm.)