pipei

shift用于图象匹配的算法，对于搞双目测距的朋友很有用(shift)

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.

MATLAB编程书籍，是MATLAB中不错的书籍，也是初学MATLAB编程入门必备书籍(The the MATLAB programming books, good books MATLAB, beginner MATLAB programming entry required books)

刘宝碇不确定理论的Matlab工具箱 (Matlab toolbox anchor Liu uncertain theory)

PSNR for image processing

Basic commands for MATLAB in Polish, especially for beginners

Kriging代理模型适用于设计变量和试验样本较多的数据，建立设计变量与数据结果之间的数据模型，可用作进一步的优化设计(Kriging model applies to multiple design variables and large samples , can be used for further optimizational design)

凿孔的matlab代码，本人调试通过可以直接运行 有凿孔和解凿孔两个部分，加在卷积编码模块后，提高传输速率和信道利用率，但也相应地降低了卷积码的性能(Perforated matlab code, I can run a debugging through reconciliation punctured punctured two parts, plus the convolution coding module, to improve the transmission rate and channel utilization, but also a corresponding decrease in the performance of convolutional codes)

this document is paper

这是一篇介绍C++BUILDE和MATLAB混合编程的文章，比较有参考价值(This is an article on C++ BUILDE and MATLAB programming mix of articles, compared with reference value)