登录
首页 » matlab » fiber_XPM

fiber_XPM

于 2021-04-29 发布 文件大小:1KB
0 272
下载积分: 1 下载次数: 173

代码说明:

  用Matlab来模拟光通信中的光纤交叉相位调制。此类仿真比较少,值得参考。(Using Matlab to simulate the optical fiber communication cross-phase modulation. Reference worthwile.)

文件列表:

fiber_XPM.m,3021,2007-12-20

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • acoplamento_duasF_Nlinear
    Coupling twin core fibers
    2012-11-11 17:03:10下载
    积分:1
  • Turbo
    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)
    2010-05-06 18:57:46下载
    积分:1
  • BPSKerr_rate
    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)
    2007-05-29 16:50:16下载
    积分:1
  • Icic
    Article published in ICIC about traveling waves
    2012-01-31 21:10:09下载
    积分:1
  • 1
    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. )
    2016-01-18 23:18:41下载
    积分:1
  • k_nn_classifier
    k-nn algorithm for classify
    2011-01-05 06:16:07下载
    积分:1
  • offset_estim
    This function implies carrier and sampling frequency offset estimation
    2009-06-29 19:41:02下载
    积分:1
  • WindyGridWorldQLearning
    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.
    2013-04-19 14:23:35下载
    积分:1
  • bv_cvxbook
    Convex Optimization.----Stephen Boyd(Convex Optimization.---- Stephen Boyd)
    2013-12-04 14:56:27下载
    积分:1
  • Rabaey---Digital-Integrated-Circuits-2e-(Prentice
    imp book for cmos technology
    2015-04-10 15:39:16下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载