登录
首页 » matlab » elleSR_0.2

elleSR_0.2

于 2021-03-01 发布 文件大小:496KB
0 156
下载积分: 1 下载次数: 345

代码说明:

  多帧图像超分辨率重建,里面有huber 马尔科夫,ML超分辨率重建,对学习超分辨率很有帮助。(Multi-frame image super-resolution reconstruction, which has the the huber Markov, ML super-resolution reconstruction is helpful in learning the super-resolution.)

文件列表:

elleSR_0.2
..........\elle_eval_huber.cpp,2165,2012-02-23
..........\elle_eval_huber.mexw32,8704,2012-03-24
..........\elle_eval_huber_grad.cpp,3214,2012-02-23
..........\elle_eval_huber_grad.mexw32,9216,2012-03-24
..........\getAvim.cpp,9529,2012-02-23
..........\getAvim.mexw32,10752,2012-03-24

..........\makeLR.cpp,8634,2012-02-23
..........\makeLR.mexw32,11776,2012-03-24
..........\makeW.cpp,12422,2012-02-23
..........\makeW.mexw32,11776,2012-03-24
..........\mex_amub.cpp,5219,2012-02-23
..........\mex_amub.mexw32,9728,2012-03-24
..........\netlab3_3
..........\.........\conffig.m,942,2004-06-18
..........\.........\confmat.m,1349,2004-06-18
..........\.........\conjgrad.m,4715,2004-06-18
..........\.........\consist.m,2607,2004-06-18
..........\.........\Contents.m,11172,2004-06-18
..........\.........\convertoldnet.m,724,2004-06-18
..........\.........\datread.m,2611,2004-06-18
..........\.........\datwrite.m,1141,2004-06-18
..........\.........\dem2ddat.m,1362,2004-06-18
..........\.........\demard.m,6175,2004-06-18
..........\.........\demev1.m,5511,2004-06-18
..........\.........\demev2.m,8201,2004-06-18
..........\.........\demev3.m,5718,2004-06-18
..........\.........\demgauss.m,2267,2004-06-18
..........\.........\demglm1.m,2449,2004-06-18
..........\.........\demglm2.m,2552,2004-06-18
..........\.........\demgmm1.m,6067,2004-06-18
..........\.........\demgmm2.m,4593,2004-06-18
..........\.........\demgmm3.m,5799,2004-06-18
..........\.........\demgmm4.m,6414,2004-06-18
..........\.........\demgmm5.m,4886,2004-06-18
..........\.........\demgp.m,4614,2004-06-18
..........\.........\demgpard.m,4167,2004-06-18
..........\.........\demgpot.m,1036,2004-06-18
..........\.........\demgtm1.m,4889,2004-06-18
..........\.........\demgtm2.m,5579,2004-06-18
..........\.........\demhint.m,1509,2004-06-18
..........\.........\demhmc1.m,4798,2004-06-18
..........\.........\demhmc2.m,4422,2004-06-18
..........\.........\demhmc3.m,4519,2004-06-18
..........\.........\demkmn1.m,3039,2004-06-18
..........\.........\demknn1.m,2451,2004-06-18
..........\.........\demmdn1.m,6290,2004-06-18
..........\.........\demmet1.m,2926,2004-06-18
..........\.........\demmlp1.m,2502,2004-06-18
..........\.........\demmlp2.m,9057,2004-06-18
..........\.........\demnlab.m,9505,2004-06-18
..........\.........\demns1.m,3397,2004-06-18
..........\.........\demolgd1.m,3722,2004-06-18
..........\.........\demopt1.m,6066,2004-06-18
..........\.........\dempot.m,487,2004-06-18
..........\.........\demprgp.m,16624,2004-06-18
..........\.........\demprior.m,11346,2004-06-18
..........\.........\demrbf1.m,4358,2004-06-18
..........\.........\demsom1.m,3457,2004-06-18
..........\.........\demtrain.m,9923,2004-06-18
..........\.........\dist2.m,891,2004-06-18
..........\.........\eigdec.m,1342,2004-06-18
..........\.........\errbayes.m,1275,2004-06-18
..........\.........\evidence.m,3497,2004-06-18
..........\.........\fevbayes.m,1932,2004-06-18
..........\.........\gauss.m,777,2004-06-18
..........\.........\gbayes.m,1560,2004-06-18
..........\.........\glm.m,2783,2004-06-18
..........\.........\glmderiv.m,1161,2004-06-18
..........\.........\glmerr.m,1474,2004-06-18
..........\.........\glmevfwd.m,994,2004-06-18
..........\.........\glmfwd.m,1775,2004-06-18
..........\.........\glmgrad.m,1067,2004-06-18
..........\.........\glmhess.m,4024,2004-06-18
..........\.........\glminit.m,1121,2004-06-18
..........\.........\glmpak.m,402,2004-06-18
..........\.........\glmtrain.m,6198,2004-06-18
..........\.........\glmunpak.m,819,2004-06-18
..........\.........\gmm.m,3978,2004-06-18
..........\.........\gmmactiv.m,2332,2004-06-18
..........\.........\gmmem.m,4997,2004-06-18
..........\.........\gmminit.m,3341,2004-06-18
..........\.........\gmmpak.m,527,2004-06-18
..........\.........\gmmpost.m,966,2004-06-18
..........\.........\gmmprob.m,658,2004-06-18
..........\.........\gmmsamp.m,1842,2004-06-18
..........\.........\gmmunpak.m,1770,2004-06-18
..........\.........\gp.m,3168,2004-06-18
..........\.........\gpcovar.m,1006,2004-06-18
..........\.........\gpcovarf.m,1125,2004-06-18
..........\.........\gpcovarp.m,840,2004-06-18
..........\.........\gperr.m,1421,2004-06-18
..........\.........\gpfwd.m,1576,2004-06-18
..........\.........\gpgrad.m,2585,2004-06-18
..........\.........\gpinit.m,1404,2004-06-18
..........\.........\gppak.m,480,2004-06-18
..........\.........\gpunpak.m,975,2004-06-18
..........\.........\gradchek.m,1822,2004-06-18
..........\.........\graddesc.m,5412,2004-06-18

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

  • works
    该程序允许操作者用鼠标画出任意种桁架,然后求解,最后以图形方式输出结果。(The program allows the operator to use the mouse to draw any kind of truss, and then solving, and finally output the results graphically.)
    2010-05-06 22:37:52下载
    积分:1
  • Persistencia
    SISTEMA DE Persistencia
    2013-11-20 21:48:29下载
    积分:1
  • 频偏比较
    说明:  OFDM系统中,在没有频率偏差时,解调后的结果与原始数据一致,而存在频率偏差时,解调后的结果与原始数据差异较大,且频率偏差越大,解调结果与原始数据的差异就越大。(In OFDM system, when there is no frequency deviation, the demodulation result is consistent with the original data, while when there is frequency deviation, the demodulation result is significantly different from the original data, and the greater the frequency deviation is, the greater the difference between the demodulation result and the original data will be.)
    2020-04-09 13:33:17下载
    积分:1
  • VeinIdentifyCode
    手指静脉识别matlab代码、注释及原图一张(Finger vein recognition matlab code, comments and artwork 1)
    2010-06-11 15:15:17下载
    积分:1
  • 107215773new_emd
    EMD方法虽然已经使用的比较的多,但是仍然存在着很多的问题,只要是理论方面的。(Although the EMD method has been used by more than comparable, but there are still many problems, as long as theories.)
    2010-07-29 16:18:09下载
    积分:1
  • featureSelection
    利用保留交叉验证(hold-out)的特征选择,有筛选排序的功能,并最终可以输出对应特征下标。(The use of cross-validation reserved (hold-out) feature selection, there is sort of filtering function, and eventually you can output the corresponding feature subscript.)
    2013-08-11 10:26:17下载
    积分:1
  • Review
    Object tracking in computer vision refers to the task of tracking individual moving objects accurately from one frame to another in an image sequence. Several tracking methods have been proposed in the recent literature capable of coping with a certain degree of occlusions of the objects.
    2011-01-06 16:20:30下载
    积分:1
  • work
    利用matlab解决B样条和bizer曲线,实现一种画图过程。(Using matlab to solve the B-spline, and bizer curve, a drawing process. )
    2012-04-15 08:48:33下载
    积分:1
  • corrosin
    一个基于图像腐蚀的应用,检测钢筋数目,省却时间(An application to detect the number of image-based reinforcement corrosion, save time)
    2013-11-27 21:07:51下载
    积分:1
  • Single-Carrier-FDMA
    SC-FDMA的MATLAB程序仿真,实现链路级是哪个性传输(single carrier FDMA simulation )
    2012-03-30 11:40:32下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载