testbrownmotion

两个平面波展开程序，关于二维结构，希望对大家有所帮助。(Two plane wave expansion method programs,about two dimensional structure.)

搭建二级倒立摆系统，采用极点配置的方法进行控制，使其稳定(Build a double inverted pendulum system, using the method of pole placement control to stabilize)

基于最优统计法编写的近场声全息MATLAB程序。(then program of NAH based on Optimal statistics.)

用于解三对角方程的追赶法源代码，MATLAB编写，高斯列主元解线性方程组代码(Solution of tridiagonal equations for the pursuit method source code, MATLAB prepared)

这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。(This is a space-time block codes based on the MIMO_OFDM Communication System Simulation and Design. This system consists of QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, based on training symbols such as communication channel estimation module.)

变步长LMS自适应滤波算法的MATLAB程序，很好用，我已经试过了(Variable step size LMS algorithm MATLAB procedures, very good, I' ve tried)

OFDM系统中，对信号进行BPSK调制的Matlab程序源码，经检验，可有效实现该调制方式。(OFDM system, BPSK modulation on the signal source of the Matlab program, after testing, which can effectively achieve the modulation.)

有关可变码长的LDPC编码电路的设计与实现和一些相关的英文资料以及文献(LDPC)

its says about finger print technology

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.