DWRR

信号过载情况下的SVM波束形成, 比其他常用的方法效果好很多.(signal overload of SVM beamforming than other commonly used method is much better.)

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.

说明：  PAM调制，实现模拟信号的数字抽样，能够启发matlab初学者的编程(PAM modulation, realize simulation signal digital sampling )

Program of signal processing

Generation of a PPM-UWB signal in the case of a sinusoidal modulating signal and rectangular pulses

数字水印DCT算法设计，可以进行优化，希望大家一起将程序优化(DCT digital watermarking algorithm designe，it can be optimized and I hope that everyone can work together to optimized it.)

making jacobian matrix power system

电机在无阻尼状态下运行中的故障仿真，matlab下的实现(State in the absence of damping the motor running in the fault simulation, matlab under implementation)

ITs IEEE PESGM08 Paper.

DEMO_COND demonstrates the role of the condition number of a matrix (with respect to inversion) in the role of linear system solving. Matthias Heinkenschloss Department of Computational and Applied Mathematics Rice University Feb 22, 2001