kill-hdd

说明：  主要对扩展卡尔曼滤波（EKF）、无迹卡尔曼滤波（UKF）及改进无迹卡尔曼滤波（MAUKF）算法进行研究，研究了三种算法的基本原理和各自的特点。其中扩展卡尔曼滤波器是将卡尔曼滤波器局部线性化，其算法简单，计算量小，适用于弱非线性、高斯环境。无迹卡尔曼滤波器是用一系列确定样本来逼近状态的后验概率密度。改进无迹卡尔曼滤波算法在UKF的基础上引入衰减因子。(The thesis focuses on the extended Kalman filter (EKF), unscented Kalman filter (UKF) and the improvement of unscented Kalman filter (MAUKF) algorithm research, researched the basic principles of three algorithms and their characteristics. Extended Kalman filter (EKF) is the local linear Kalman filter, the algorithm and computation are simple in weakly nonlinear and Gaussian environment. Unscented Kalman filter (UKF) is determined using a series of samples to approximate the state posterior probability density. Improved UKF algorithm (MAUKF) is introduced attenuation factor based on the UKF.)

该文件是PQ分解法，可以更有效地解决IEEE30节点系统的潮流，希望可以给广大朋友一定的帮助。(The file is PQ decomposition, can more effectively address the trend IEEE30 bus system, hoping to be helpful to the general friend.)

本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。(This book logically arranged from beginning to end examples describing the content of complete and relatively independent of each chapter it is a simple MATLAB reference books, both for beginners, but also to high-level MATLAB users.)

model of a three phase rectifier taking into account the current

关于ALOHA协议的M文件，将无捕获效应仿真结果,无捕获效应理论值,有捕获效应仿真结果进行了比较(ALOHA protocol M-file, will not capture the effects of simulation results capture the effect of the theoretical value, capture the effects of simulation results were compared)

This is the implementation of paper Understanding and Diagnosing Visual Tracking Systems (ICCV15 )，论文代码，实现论文中的试验比较算法(This is the implementation of paper Understanding and Diagnosing Visual Tracking Systems (ICCV15 ))

说明：  配电网潮流计算，前推回代法，matlab程序(distribution system calculation)

This is a direct torque control of induction motor

scma的简单代码实现，AWGN信道。定义用户数量为6个，可选codebook数量为6(A simple simulation of scma code in AWGN channel.)

说明：  多种群遗传算法的函数优化算法，通过多个种群之间的相互交流，加强遗传算法的寻优能力(The function optimization algorithm of multi population genetic algorithm strengthens the optimization ability of genetic algorithm through the mutual communication of multi population)