two_pole_PWM

Start with the runlocalization track.m which is the entrance function to your lab. This function reads two les determined by simoutle and maple input arguments which contain information about sensor readings and the map of the environment respectively, runs a loop for all the sensor readings and calls the ekf localize.m to perform one iteration of EKF localization on the readings and plots the estimation(red)/ground truth(green) and odometry(blue) information.(This lab consists of two parts: 1. A preparatory case study with a standard Kalman lter where you learn more about the behavior of the Kalman lter. Very little extra code is needed. 2. The main lab 1 problem in which you need to complete an implementation of an Extended Kalman lter based robot localization.)

Object programming on C++.

运用Matlab进行分类、参数估计和状态分析(Classification, parameter estimation and state estimation- An engineering approach using Matlab)

用matlab的图形界面设计写的一个扫雷的小游戏，画面可能较差(Matlab graphical interface design to write a minesweeping game, the screen may be less)

利用牛顿拉夫逊法对IEEE30配电网系统进行潮流计算，为配电网状态估计提供初值(to get power flow of ieee30 by newton-rafson,then provide the strat state for dse)

说明：  蒙特卡洛法的应用，hhhh电力系统状态估计状态分析，风险评估(Application of Monte Carlo method, state analysis of power system state estimation, risk assessment)

一个对于光孤子的编程。程序比较简单，但是结果比较实际，推荐。(For the programming of a soliton. Procedure is simple, but the results more practical recommendation.)

用matlab画蜂窝图 蜂窝模型在很多算法中都是会用到的(Matlab painting cellular figure)

信号提取是信号处理的一个重要技术，如何评价提取信号的性能，相关系数就是一个很好的评价指标！(signal from the signal processing is an important technology, how to assess the performance of signal extraction, the correlation coefficient is a good evaluation index!)

提出了一种基于人类视觉系统和模糊隶属度函数的小波卫星图像融合新算法,利用小波域的人类视觉系 统经验模型,刻画图像的边缘、纹理及高亮区域, 采用模糊隶属度函数自适应地计算权系数, 在小波域上通过加权 平均实现了图像融合。(Proposed a new algorithm based on human visual system and the fuzzy membership function of the wavelet satellite image fusion using wavelet domain experience in the human visual system model, depicting the image of the edge, texture, and the highlighted area, the use of fuzzy membership function adaptively calculate the weight coefficients in the wavelet domain by the weighted average realized fusion.)