fiber_XPM

Coupling twin core fibers

关于turbo码及其在3G中的应用，对初学者有帮助(about Tubro and its application in 3G)

BPSK平坦瑞利信道下的最大信噪比合并仿真的matlab程序，希望大家下载(BPSK Rayleigh flat channel with the greatest signal-to-noise ratio of Matlab simulation procedures in the hope that you download)

Article published in ICIC about traveling waves

说明：  讲述了基于人体关节点的步态识别技术。步态识别是指根据人走路的姿势及动力学特征来识别人的身份，包括人体运动目标检测、特征提取和分类识别三个过程。本文在对各种步态识别算法进行了详细研究的基础上，对核心环节暨特征提取过程进行了主要研究，提出了相应的新的改进算法。(Gait recognition is defined to identify the identity of the person as the way peoplewalk and kinetic characteristics.It includes moving target detection,featureextraction ,classification and recognition.Based on the study of the various of gaitrecognition algorithms, main research about the key stage- feature extraction has beendone and a new algorithm has been proposed in this paper. )

k-nn algorithm for classify

This function implies carrier and sampling frequency offset estimation

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.

Convex Optimization.----Stephen Boyd(Convex Optimization.---- Stephen Boyd)

imp book for cmos technology