LQR_control

这是用matlab实现的卷积码源代码加最终的结果图(This is matlab convolution code with the source code plus the final results of Figure)

说明：  这是一个小巧的指针类.在这里提供了两个主类CountedPtr和BackPtr,可以使用在任何环境中(This is a small target category. Here the two main categories CountedPtr BackPtr and can be used in any environment)

说明：  利用Kalman filter和Unscented filter对坠落物进行估测,证明后者算法优于前者(Use of Kalman filter and Unscented filter for estimation of the falling objects to prove that the latter algorithm is superior to the former)

Design and analysis of microstip antenna in terms of radiation pattern, by using different patches in matlab simulation software,

用Matlab解决图像中交互式画矩形后保存问题(Using Matlab to solve the interactive image after drawing the rectangle preservation)

《机器人数学导论》中的matlab程序，包含螺旋运动和李群计算的程序("robot Mathematics" Introduction to the Matlab procedures, including spiral movement and the procedures for calculating Li)

simulates a wind turbine with a generation of asynchronous

five script.m for 1. BER in Rayleigh fading channel with MRC 2. BER in Rayleigh fading channel with EGC 3. BER in Rayleigh fading channel with selection 4. BER in Rayleigh fading channel with alamoutistbc 5. BER in Rayleigh fading channel with beamforming

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.)

灰色系统预测源代码,本人亲自试过可用，为什么一定要20个字呢(Grey forecasting the source code )