登录
首页 » PDF » 1588test_result

1588test_result

于 2010-02-01 发布 文件大小:359KB
0 235
下载积分: 1 下载次数: 161

代码说明:

  本文介绍了IEEE 1588时间同步性能测试方法和测试结果(This article describes the IEEE 1588 time synchronization performance test methods and test results)

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

  • notch01
    50hz陷波器,零极点的原理。编译通过。 (50hz notch filter, zero-pole principle. Compiled through.)
    2007-08-23 19:56:47下载
    积分:1
  • socket_communication
    comunication tcp ip on matlab
    2009-04-17 09:23:51下载
    积分:1
  • LMS
    LMS自适应算法,对不同信道参数进行仿真,并输出计算结果(LMS adaptive algorithm, for different channel simulation parameters and output results)
    2008-07-09 19:54:04下载
    积分:1
  • dhx
    小波阈值去噪,得到信噪比更高的信号,进行后续处理更清晰。(Wavelet threshold denoising to get higher signal noise ratio, the subsequent processing more clear。)
    2011-05-18 11:50:58下载
    积分:1
  • adaptivehuffman
    code adaptivehuffman
    2011-12-26 19:20:55下载
    积分:1
  • fuzzy-recognition-of-car
    matlab实现停车位车辆检测,主要是利用hough变换实现车道线检测.本程序先是二值化,滤波处理后,利用hough变化检测车道线,故确定车位位置,在车位内根据颜色灰度检测是否有车。(matlab parking space vehicle detection using hough transform lane detection. This procedure first binarization, filtering, hough change detection lane, so to determine the parking position, in the parking according to the color gray-scale detectioncar.)
    2021-04-28 16:58:44下载
    积分:1
  • GA7 - ZS1
    基于遗传算法的主动悬架模糊控制,通过遗传算法来优化模糊控制的隶属度函数,以此来优化悬架的垂直加速度的方均根(Fuzzy control of active suspension based on genetic algorithm and membership function of fuzzy control are optimized by genetic algorithm to optimize the mean square root of vertical acceleration of suspension.)
    2019-05-20 20:23:12下载
    积分:1
  • UWB信道
    说明:  这是一份有关于UWB信道的matlab代码(It is about UWB channel)
    2020-12-08 18:39:50下载
    积分:1
  • COST207model
    关于欧洲标准的cost207的信道模型,以matlab函数形式给出。(on European standards cost207 the channel model, presented in the form of Matlab function.)
    2007-06-15 19:07:16下载
    积分:1
  • psoToolbox
    Help psoToolbox V1.0 psoToolbox provides an interective GUI based Toolbox to solve optimization problems using particle swarm optimization. Creat a fitness function in M-file. Inputs: Function : Function handle of fitness function. Nvars : Number of variable to be optimized. LB : Lower Bound of Nvars (1 X Nvars) UB : Upper Bound of Nvars (1 X Nvars) Parameters: C1 : Cognative Attraction C2 : Social Attraction W : Inertial Population Size : Number of Swarms Max Iterations : Maximum number of epochs. Click on " RUN PSO " button to start PSO search. You will get the out put at Edit box below the axes.
    2013-11-24 04:13:20下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载