paso-bajo-y-alto

A Guide to MATLAB Object-Oriented Programming

基于K-L展开的人脸检测matlab程序，采用K-L展开对图片主成分分析、多图训练，从而达到在复杂图片中检测人脸的功能。(KL expansion based on face detection matlab program, using KL expansion of the picture principal component analysis, multi-map training, so as to achieve a complex picture face detection function.)

说明：  先进PID控制Matlab仿真(刘金琨编)第4版-仿真程序 全书分17章，包括基本的PID控制、PID控制器的整定、时滞系统PID控制、基于微分器的PID控制、基于观测器的PID控制、自抗扰控制器及其PID控制、PD鲁棒自适应控制、专家PID控制和模糊PD控制、神经网络PID控制、基于差分进化的PID控制、伺服系统PID控制、迭代学PID控制、挠性及奇异摄动系统的PD控制、机械PID控制，以及其他控制方法的设计。每种方法都给出了算法推导、实例分析和相应的MATLAB仿真设计程序。(Advanced PID Control matlab simulation (edited by Liu Jinqi) - 4th Edition - simulation program The book is divided into 17 chapters, including basic PID control, tuning of PID controller, PID control of time-delay system, PID control based on differentiator, PID control based on observer, ADRC and its PID control, PD robust adaptive control, expert PID control and fuzzy PD control, neural network PID control, PID control based on differential evolution, PID control of servo system and iterative PID control. The design of PD control, mechanical PID control and other control methods for flexible and singular perturbation systems. Each method gives the algorithm derivation, case analysis and corresponding MATLAB simulation design program.)

vmware存储IO控制。 在vsphere环境下，当存储IO性能达到顶峰时，如何有效的控制IOps的大小，不至于将存储写爆了。(vmware storage IO control. In vsphere environment, when the storage IO performance peaked IOps how to effectively control the size, not the memory write burst.)

是Matlab图像处理的原程序代码，适合初学者使用。(Matlab image processing is the original code, suitable for beginners.)

多重网格算法实现图像的去噪，效果较好，基于rof模型，大家一起学习交流！(Multiple grid algorithm of image denoising, the effect is good, based on rof model, study with you exchange )

programas comunicaciones digitals

< Matlab遗传算法工具箱及应用>> 配套的遗传算法工具箱 gatbx(<Matlab genetic algorithm toolbox and application>> matching the genetic algorithm toolbox gatbx)

implementation of grid word problem-classic problem in machine learning coarse

This code is used for trajectoru tracking using EKF.