gatbx-toolbox

转子系统碰摩，有轴承约束的转子系统碰撞摩擦matlab程序(Rotor system rub-impact, with bearing constraint rotor system collision friction matlab program)

说明：  利用matlab进行平差计算，体现矩阵运算的强大功能和方便性(Using matlab for adjustment calculation, reflecting the power of matrix operation and convenience)

DSP course lab1_discussion_question

用MATLAB编写的拉格朗日程序。希望对大家有用。(MATLAB prepared using Lagrangian procedures. Hope useful for all of us.)

insertion of two images iand how to exctract them

Find the bhattachharya coefficient

Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively improving its evaluations of the quality of particular actions at particular states. This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins (1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed each iteration, rather than just one.

对称三角线性调频连续波信号模糊函数分析Symmetrical triangular linear frequency modulation continuous wave signal ambiguity function analysis(Symmetrical triangular linear frequency modulation continuous wave signal ambiguity function analysis)

Matlab 上做的平面四方格子的Ising 模型(An Ising model of plane in Matlab2010b)

本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。(This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) the new method. The method of iterative filtering theory is introduced to the extended Kalman filter method, the effective measurement of repeated use of the new information, also using Levenberg-Marquardt method to adjust the covariance matrix of prediction algorithm to ensure global convergence. Experimental results show that the proposed method has higher estimation accuracy, is a high efficiency, good performance tracking methods.)