MPPT_charger_V2

This is a work version of STK500 programmer in Altium DXP. If anyone find errors in schematic, pls. post message. Thanks!

线性连续系统的数字PID控制（用GA整定PID参数） (Linear continuous system of digital PID control (with GA tuning PID parameters))

statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energy filters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in a posterior step to perform image segmentation and object recognition.(statistical methods in order to extract image texture descriptors. In particular, we will focus on the Co-occurrence matrices and the Energyfilters (Laws filters). They are well-known texture descriptors, fast and easy to implement and provide good results that could be used in aposterior step to perform image segmentation and object recognition.)

电动势负反馈的速度,电流双闭环直流调速系统仿真 (Negative feedback of the speed electromotive force, current Double Loop DC Motor Control System Simulation)

详细介绍了matlab的各种函数，以及命令等，可提供详细查询(Matlab details the various functions, as well as command and so on, can provide a detailed inquiry)

基于差分算法的路由算法，可以搜索网络中的最佳路由路径，差分算法优越于传统遗传算法，寻优目的性更强(Difference algorithm-based routing algorithm, the best route in the search network, differential algorithm is superior to the traditional genetic algorithm optimization purpose more)

gotchars for C++ programming

ClassificadorNN for traffic signals

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

兰姆波群速度相速度曲线图仿真matlab代码(Lamb wave group velocity graph showing the phase velocity)