登录
首页 » matlab » icp

icp

于 2011-01-12 发布 文件大小:1KB
0 234
下载积分: 1 下载次数: 25

代码说明:

  Iterative closest point in MATLAB

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

  • Simulation
    光纤耦合器中光孤子传输仿真研究__本文用matlab对光孤子在光纤耦合器中传输的过程进行仿真。(Optical fiber coupler in the simulation of optical soliton transmission using matlab __ optical solitons in optical fiber coupler in the transmission process simulation.)
    2009-04-03 21:03:45下载
    积分:1
  • main
    antenna design using matlab
    2011-05-07 01:06:15下载
    积分:1
  • 2013A
    2013年美国大学生数学建模竞赛A题程序(the code of 2013 mcm(A))
    2013-05-19 22:09:42下载
    积分:1
  • annealing
    说明:  用MATLAB编写的模拟退后程序,为通用模板,下载后修改即可使用。(Using MATLAB simulation back to prepare procedures for the generic template, modified to use after downloading.)
    2008-11-09 17:21:13下载
    积分:1
  • rectwindowfilter
    lowpass filter using rectangular window
    2013-03-05 00:15:03下载
    积分:1
  • ch06-UART
    基于KL25的开发例程,本例程关于异步通信,附带相关底层构建,十分适合初学者参考编程。(Based on KL25 development routine, the routine of asynchronous communication, with related underlying build, programming is very suitable for beginners reference.)
    2013-12-17 21:58:51下载
    积分:1
  • Mackay构造LDPC码matlab
    说明:  Mackay构造LDPC码程序 matlab(Mackay Constructs LDPC Code Program Matlab)
    2019-04-09 16:23:15下载
    积分:1
  • timing_syn
    说明:  采用gardner法,实现定时定时同步,做这个已经有一段时间了(By gardner method, to achieve timing synchronization time, to do this has been for some time)
    2011-03-24 12:50:37下载
    积分:1
  • shenjingwangluo
    T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000,训练目标为0.01,学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据,和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )
    2011-05-21 16:47:44下载
    积分:1
  • Tu_hoc_Matlab
    tai lieu huong dan su dung matlab
    2012-05-19 21:09:43下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载