jacobian

Engineering Analysis - Interactive Methods and Programs With FORTRAN QuickBASIC MATLAB and Mathematica - Y. C. Pao (CRC, 2001).(Engineering Analysis- Interactive Methods and Programs With FORTRAN QuickBASIC MATLAB and Mathematica- Y. C. Pao (CRC, 2001).)

该程序是关于AMI码单极性归零码单极性不归零码等数字基带码型的仿真程序，有GUI界面(The program is about the AMI code is not unipolar RZ unipolar and other digital baseband NRZ pattern simulation program, a GUI interface)

matlap程序设计　刘卫国版　课后实验6(matlap Liu Weiguo version of Experiment 6)

多天线的角辐射功率演示,包括2种天线阵,1为线性真,一为任意布置.(A MATLAB GUI platform for displaying the radiation pattern of a narrowband beamformer with user-defined array geometry. User can specify the array geometry, directions of incoming signals, noise level, and the types of beamformer by mouse clicks. Useful for gaining insight about collaborative beamforming in sensor networks and random arrays. )

mpeg compression using matlab

直流降压升压变换器 用于对输入电压的升高或者降低 (DC buck-boost converter is used to raise or lower the input voltage)

plecs pv model description pdf

Best best insertion algorithm to solve TSP

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：  跳频通信的matlab文件,对学习扩频通信有很大的帮助 (fhss introduction made in matlab)