巴克码 barker code

samling using matlab

Histology images reveal grade-differentiating parameters for breast cancer

matlab video motion detection and tracking

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：  RF放大器设计[台湾中华大学）1.rar(RF Amplifier Design [University of Taiwan and China] 1.rar)

matlab应用程序接口用户指南，matlab与其它程序的联合调用(matlab Application Programming Interface User' s Guide, matlab and other procedures for the joint call)

matlab6.5的源代码，包含了所有实例的源代码，请多多支持！！(matlab6.5 source code, contains all instances of the source code, a lot of support! !)

说明：  一种用于实现变压器等故障分类的matlab代码(A matlab code for transformer fault classification)

本文是编程来实现中值滤波，从而达到图像去噪的目的(This is a program to achieve the median filter, so as to achieve the purpose of image denoising)

用于故障诊断、数据分析等领域的经验模态分解方法(For fault diagnosis, data analysis and other fields of empirical mode decomposition method)