登录
首页 » matlab » SCN_Matlab-master

SCN_Matlab-master

于 2016-06-27 发布 文件大小:2440KB
0 318
下载积分: 1 下载次数: 16
我要下载

代码说明：

  深度神经网络，去模糊，超分辨重建,matlab代码。(Deep Networks for Image Super-Resolution with Sparse Prior)

文件列表：

SCN_Matlab-master
.................\data


.................\Demo_SR.m,1172,2016-04-05
.................\Demo_SR_Conv.m,1269,2016-04-05
.................\matconvnet
.................\..........\.gitattributes,119,2016-04-05
.................\..........\.gitignore,362,2016-04-05
.................\..........\.gitmodules,0,2016-04-05
.................\..........\htm" target=_blank>COPYING,735,2016-04-05
.................\..........\doc
.................\..........\...\blocks.tex,20209,2016-04-05
.................\..........\...\figures
.................\..........\...\.......\imnet.pdf,18884,2016-04-05
.................\..........\...\.......\pepper.pdf,702358,2016-04-05
.................\..........\...\.......\svg
.................\..........\...\.......\...\conv.svg,68592,2016-04-05
.................\..........\...\.......\...\convt.svg,65347,2016-04-05
.................\..........\...\fundamentals.tex,21296,2016-04-05
.................\..........\...\geometry.tex,16543,2016-04-05
.................\..........\...\impl.tex,16698,2016-04-05
.................\..........\...\intro.tex,18889,2016-04-05
.................\..........\...\Makefile,2071,2016-04-05
.................\..........\...\matconvnet-manual.tex,3773,2016-04-05
.................\..........\...\matdoc.py,7046,2016-04-05
.................\..........\...\matdocparser.py,11108,2016-04-05
.................\..........\...\references.bib,2729,2016-04-05
.................\..........\...\site
.................\..........\...\....\docs
.................\..........\...\....\....\about.md,4972,2016-04-05
.................\..........\...\....\....\css
.................\..........\...\....\....\...\fixes.css,863,2016-04-05
.................\..........\...\....\....\...\tables.css,1716,2016-04-05
.................\..........\...\....\....\developers.md,3392,2016-04-05
.................\..........\...\....\....\faq.md,1064,2016-04-05
.................\..........\...\....\....\functions.md,2587,2016-04-05
.................\..........\...\....\....\gpu.md,1095,2016-04-05
.................\..........\...\....\....\index.md,3131,2016-04-05
.................\..........\...\....\....\install-alt.md,3404,2016-04-05
.................\..........\...\....\....\install.md,7721,2016-04-05
.................\..........\...\....\....\js
.................\..........\...\....\....\..\mathjaxhelper.js,138,2016-04-05
.................\..........\...\....\....\..\toggle.js,191,2016-04-05
.................\..........\...\....\....\pretrained.md,8571,2016-04-05
.................\..........\...\....\....\quick.md,2556,2016-04-05
.................\..........\...\....\....\training.md,1047,2016-04-05
.................\..........\...\....\....\wrappers.md,9159,2016-04-05
.................\..........\...\....\mkdocs.yml,1833,2016-04-05
.................\..........\...\wrappers.tex,7100,2016-04-05
.................\..........\examples
.................\..........\........\cnn_cifar.m,4529,2016-04-05
.................\..........\........\cnn_cifar_init.m,2543,2016-04-05
.................\..........\........\cnn_cifar_init_nin.m,4930,2016-04-05
.................\..........\........\cnn_imagenet.m,6349,2016-04-05
.................\..........\........\cnn_imagenet_camdemo.m,1806,2016-04-05
.................\..........\........\cnn_imagenet_evaluate.m,2960,2016-04-05
.................\..........\........\cnn_imagenet_get_batch.m,3463,2016-04-05
.................\..........\........\cnn_imagenet_googlenet.m,831,2016-04-05
.................\..........\........\cnn_imagenet_init.m,13358,2016-04-05
.................\..........\........\cnn_imagenet_minimal.m,932,2016-04-05
.................\..........\........\cnn_imagenet_setup_data.m,7311,2016-04-05
.................\..........\........\cnn_imagenet_sync_labels.m,588,2016-04-05
.................\..........\........\cnn_mnist.m,3314,2016-04-05
.................\..........\........\cnn_mnist_dag.m,3786,2016-04-05
.................\..........\........\cnn_mnist_experiments.m,828,2016-04-05
.................\..........\........\cnn_mnist_init.m,2385,2016-04-05
.................\..........\........\cnn_train.m,14363,2016-04-05
.................\..........\........\cnn_train_dag.m,10207,2016-04-05
.................\..........\........\cnn_vgg_faces.m,931,2016-04-05
.................\..........\Makefile,8623,2016-04-05
.................\..........\Makefile.mex,793,2016-04-05
.................\..........\Makefile.nvcc,925,2016-04-05
.................\..........\matconvnet.sln,886,2016-04-05
.................\..........\matconvnet.vcxproj,8658,2016-04-05
.................\..........\matconvnet.vcxproj.filters,10956,2016-04-05
.................\..........\matconvnet.xcodeproj
.................\..........\....................\project.pbxproj,76099,2016-04-05
.................\..........\....................\project.xcworkspace
.................\..........\....................\...................\contents.xcworkspacedata,152,2016-04-05
.................\..........\....................\xcshareddata
.................\..........\....................\............\xcschemes
.................\..........\....................\............\.........\matconv CPU.xcscheme,2853,2016-04-05
.................\..........\....................\............\.........\matconv cuDNN.xcscheme,2865,2016-04-05
.................\..........\....................\............\.........\matconv GPU.xcscheme,2853,2016-04-05
.................\..........\matlab
.................\..........\......\%2Bdagnn
.................\..........\......\......\@DagNN
.................\..........\......\......\......\addLayer.m,1299,2016-04-05
.................\..........\......\......\......\DagNN.m,9223,2016-04-05
.................\..........\......\......\......\eval.m,4208,2016-04-05
.................\..........\......\......\......\fromSimpleNN.m,8666,2016-04-05
.................\..........\......\......\......\getVarReceptiveFields.m,3549,2016-04-05
.................\..........\......\......\......\getVarSizes.m,502,2016-04-05
.................\..........\......\......\......\initParams.m,763,2016-04-05
.................\..........\......\......\......\loadobj.m,1347,2016-04-05
.................\..........\......\......\......\move.m,793,2016-04-05
.................\..........\......\......\......\print.m,11333,2016-04-05
.................\..........\......\......\......\rebuild.m,3103,2016-04-05
.................\..........\......\......\......\removeLayer.m,528,2016-04-05

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

  • femcode
    finite element method code
    2010-10-30 07:15:55下载
    积分：1
  • guocaiyang
    实现大点数的IFFT变换，先进行小点数IFFT变化，然后再进行过采样滤波，有频谱图及例子(Achieve great points IFFT transform, first have a small point IFFT change, and then over-sampling filter, a spectrum and examples)
    2013-10-18 16:41:36下载
    积分：1
  • FIND-MORSE-CODE
    将背景音乐（交响乐）中的摩斯电码找出并分离出来(morse_code_sound.wav is a mono (1-channel) 11,025 samples per sec, 16-bits per sample, WAV file. There is a morse code signal within the audio file, you should be able to hear it in the background, but it is not very audible (able to be heard). Write a Matlab program to analyze the wav file and determine the narrow range of frequencies occupied by the morse code sound. Then separate the morse code sound into a separate file and the music into a separate file. Write out the separated morse code and the separated music to separate wav files titled your_name_morse.wav and your_name_music.wav)
    2013-05-09 06:48:34下载
    积分：1
  • matlab-fft
    说明：  在matlab环境下编写的快速傅里叶变换程序，改变换程序简单有效(Matlab environment in the preparation of the fast Fourier transform procedure to change the procedure for simple and effective)
    2009-07-27 11:21:41下载
    积分：1
  • shuzhifenxi
    matlab数值分析的应用，包括方差分析、均匀试验设计、描述性统计分析、曲线拟合、线性回归和正交试验设计。(Application of MATLAB in numerical analysis, including analysis of variance, the uniform experimental design, descriptive statistics analysis, curve fitting, linear regression and orthogonal test design.)
    2021-01-15 21:28:46下载
    积分：1
  • S-Function编写指导
    说明：  S-Function（系统函数）为扩展 Simulink?的性能提供了一个有力的工具。以下下节阐述了什么是S-Function，为什么可以使用 S-Function，以及怎样编写自己的 S-Function。(S-Function provides a powerful tool for extending the performance of Simulink. The following section explains what an S-Function is, why it can be used, and how to write your own S-Function.)
    2020-01-15 13:49:54下载
    积分：1
  • GAs
    遗传算法简明教程，附带程序，深入浅出讲解(Simple genetic algorithm tutorial, with procedures in layman' s language to explain)
    2010-07-21 16:34:53下载
    积分：1
  • 69125-Matlab
    该文件主要包括了matlab的一些主要应用例程!对学习matlab很有帮助(The documents include the Matlab routines, some of the major application! Matlab helpful for the study)
    2006-12-29 10:48:48下载
    积分：1
  • Untitled
    STD法模态参数识别，可识别频率，阻尼比和振型系数。(STD method modal parameter identification)
    2012-11-08 10:19:30下载
    积分：1
  • Matlab2010--course
    matlab详细入门教程，甚至安装运行的图文说明。有图有源码，相信对初学者很有帮助。pdf格式(matlab detailed introductory tutorial, and even graphic installation and operation instructions. There are pictures and source code, I believe useful for beginners. pdf format )
    2012-01-02 19:23:43下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！