登录
首页 » matlab » sparse and redundant representation

sparse and redundant representation

于 2020-11-25 发布 文件大小:56089KB
0 196
下载积分: 1 下载次数: 64

代码说明:

  稀疏与冗余表示-理论及其在信号与图像处理中的应用一书的源代码(Sparse and redundant representation -From theory to application in signal and image processing -- the source code of the Book)

文件列表:

Package-Book
Package-Book\barbara.png, 185727, 2012-01-13
Package-Book\BuildingImage1.png, 405822, 2012-01-13
Package-Book\BuildingImage2.png, 215331, 2012-01-13
Package-Book\BuildingImage3.png, 420879, 2012-01-13
Package-Book\Chapter_01_3D_spheres.m, 7575, 2012-01-13
Package-Book\Chapter_01_LpLq_demo.m, 1161, 2012-01-13
Package-Book\Chapter_01_normDescroption.m, 710, 2012-01-13
Package-Book\Chapter_02_DesignFrame.m, 1842, 2012-01-13
Package-Book\Chapter_02_GrassDemo.m, 1459, 2012-01-13
Package-Book\Chapter_02_picketfence.m, 412, 2012-01-13
Package-Book\Chapter_03_Demo_Greedy.m, 5267, 2012-01-13
Package-Book\Chapter_03_Demo_Relaxation.m, 3565, 2012-01-13
Package-Book\Chapter_03_IRLS_noNoise.m, 1239, 2012-01-13
Package-Book\Chapter_03_WeakMP_efficiency.asv, 1131, 2012-01-13
Package-Book\Chapter_03_WeakMP_efficiency.m, 1584, 2012-01-13
Package-Book\Chapter_04_Bounds.m, 1277, 2012-01-13
Package-Book\Chapter_04_TwoOrthoBP_Proof.m, 495, 2012-01-13
Package-Book\Chapter_05_IRLS.m, 3791, 2012-01-13
Package-Book\Chapter_05_LARS.m, 6931, 2012-01-13
Package-Book\Chapter_05_LARS_DEMO.asv, 1699, 2012-01-13
Package-Book\Chapter_05_LARS_DEMO.m, 1825, 2012-01-13
Package-Book\Chapter_05_LARS_vs_OMP.m, 3665, 2012-01-13
Package-Book\Chapter_05_No_Uniqueness_Noise_demo.m, 3224, 2012-01-13
Package-Book\Chapter_05_TwoEps_Noise_demo.asv, 1500, 2012-01-13
Package-Book\Chapter_05_TwoEps_Noise_demo.m, 1855, 2012-01-13
Package-Book\Chapter_06_IS_Sanity_Check.asv, 1074, 2012-01-13
Package-Book\Chapter_06_IS_Sanity_Check.m, 1132, 2012-01-13
Package-Book\Chapter_06_Iterated_Shrinkage.asv, 14655, 2012-01-13
Package-Book\Chapter_06_Iterated_Shrinkage.m, 14787, 2012-01-13
Package-Book\Chapter_07_ShowTheGap1.asv, 2528, 2012-01-13
Package-Book\Chapter_07_ShowTheGap1.m, 2568, 2012-01-13
Package-Book\Chapter_07_ShowTheGap2.m, 6484, 2012-01-13
Package-Book\Chapter_08_BP_vs_DS.m, 7528, 2012-01-13
Package-Book\Chapter_09_TV_vs_Heaviside.m, 586, 2012-01-13
Package-Book\Chapter_10_Create_Atom_Examples.m, 1603, 2012-01-13
Package-Book\Chapter_10_DataCameraman.mat, 122522, 2012-01-13
Package-Book\Chapter_10_Deblurring.asv, 15602, 2012-01-13
Package-Book\Chapter_10_Deblurring.m, 15610, 2012-01-13
Package-Book\Chapter_10_Deblurring_Results.mat, 54754810, 2012-01-13
Package-Book\Chapter_10_Shrinkage_Rho.m, 2330, 2012-01-13
Package-Book\Chapter_11_Graphs.asv, 6533, 2012-01-13
Package-Book\Chapter_11_Graphs.m, 6940, 2012-01-13
Package-Book\Chapter_11_RandomOMP.m, 2391, 2012-01-13
Package-Book\Chapter_11_Synthetic.m, 8910, 2012-01-13
Package-Book\Chapter_12_Demo1.asv, 3809, 2012-01-13
Package-Book\Chapter_12_Demo1.m, 4030, 2012-01-13
Package-Book\Chapter_12_Demo1.mat, 2371632, 2012-01-13
Package-Book\Chapter_12_Demo2.asv, 3440, 2012-01-13
Package-Book\Chapter_12_Demo2.m, 3651, 2012-01-13
Package-Book\Chapter_12_DispDict.m, 1753, 2012-01-13
Package-Book\Chapter_12_TrainDic.m, 11586, 2012-01-13
Package-Book\Chapter_12_TrainDic_Fast.m, 12084, 2012-01-13
Package-Book\Chapter_13_AverageL.m, 751, 2012-01-13
Package-Book\Chapter_14_Global.m, 3197, 2012-01-13
Package-Book\Chapter_14_GlobalTrainedDictionary.mat, 126069, 2012-01-13
Package-Book\Chapter_14_Global_SURE.m, 3504, 2012-01-13
Package-Book\Chapter_14_KSVDdenoising.asv, 6829, 2012-01-13
Package-Book\Chapter_14_KSVDdenoising.m, 7037, 2012-01-13
Package-Book\Chapter_14_KSVDGlobalDenoising.asv, 3704, 2012-01-13
Package-Book\Chapter_14_KSVDGlobalDenoising.m, 3708, 2012-01-13
Package-Book\Chapter_14_Local1.m, 3754, 2012-01-13
Package-Book\Chapter_14_Local2.m, 4447, 2012-01-13
Package-Book\Chapter_14_NLMDenoising.m, 1545, 2012-01-13
Package-Book\Chapter_15_CoreInpainting0.m, 6422, 2012-01-13
Package-Book\Chapter_15_CoreInpainting1.m, 6069, 2012-01-13
Package-Book\Chapter_15_CoreInpainting2KSVD.m, 8748, 2012-01-13
Package-Book\Chapter_15_CoreInpainting2MOD.m, 7300, 2012-01-13
Package-Book\Chapter_15_CoreInpainting3KSVD.asv, 5864, 2012-01-13
Package-Book\Chapter_15_CoreInpainting3KSVD.m, 5864, 2012-01-13
Package-Book\Chapter_15_ImpulseNoiseRemoval.m, 5103, 2012-01-13
Package-Book\Chapter_15_Local_MCA_KSVD.asv, 9442, 2012-01-13
Package-Book\Chapter_15_Local_MCA_KSVD.m, 9593, 2012-01-13
Package-Book\Chapter_15_ScaleUp_Main.m, 1829, 2012-01-13
Package-Book\Chapter_15_ScaleUp_Training_and_Testing1.m, 6569, 2012-01-13
Package-Book\Chapter_15_ScaleUp_Training_and_Testing2.m, 7338, 2012-01-13
Package-Book\Child.png, 132013, 2012-01-13
Package-Book\fht.m, 218, 2012-01-13
Package-Book\fingerprint.png, 184561, 2012-01-13
Package-Book\ifht.m, 220, 2012-01-13
Package-Book\lena.png, 151199, 2012-01-13
Package-Book\omp.m, 4601, 2012-01-13
Package-Book\omp2.m, 5519, 2012-01-13
Package-Book\peppers256.png, 40181, 2012-01-13
Package-Book\private
Package-Book\private\make.m, 797, 2012-01-13
Package-Book\private\myblas.c, 5353, 2012-01-13
Package-Book\private\myblas.h, 6831, 2012-01-13
Package-Book\private\omp2mex.c, 3385, 2012-01-13
Package-Book\private\omp2mex.m, 896, 2012-01-13
Package-Book\private\omp2mex.mexw32, 17920, 2012-01-13
Package-Book\private\ompcore.c, 14351, 2012-01-13
Package-Book\private\ompcore.h, 3122, 2012-01-13
Package-Book\private\ompmex.c, 2742, 2012-01-13
Package-Book\private\ompmex.m, 792, 2012-01-13
Package-Book\private\ompmex.mexw32, 17408, 2012-01-13
Package-Book\private\ompprof.c, 4523, 2012-01-13
Package-Book\private\ompprof.h, 3086, 2012-01-13
Package-Book\private\omputils.c, 1453, 2012-01-13
Package-Book\private\omputils.h, 2238, 2012-01-13

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

  • radar
    基于matlab的雷达信号处理仿真,使用GUI编程。(Radar signal processing simulation based on matlab, using GUI programming.)
    2019-03-22 23:42:52下载
    积分:1
  • coreincwfwfw
    #include "Rect2.hpp" #include "String.hpp" #include "Transform2D.hpp" #include "Vector2.hpp" #include <cmath> namespace godot { #ifndef MAX
    2020-06-19 15:00:01下载
    积分:1
  • 6apsk信噪比与误码率的关系曲线 星座图
    说明:  16apsk信噪比与误码率的关系曲线 星座图(Constellation diagram of the relationship between signal-to-noise ratio (SNR) and bit error rate (BER) of 16APSK)
    2019-06-01 18:37:21下载
    积分:1
  • COBOL实验源码,大家可以下载在主机环境上实验,内容比较多
    COBOL实验源码,大家可以下载在主机环境上实验,内容比较多-Experimental COBOL source, you can download in the host environment experiments, the content more
    2022-08-13 10:31:06下载
    积分:1
  • 传智书城
    传智书城网络书城源代码,适合新手下载学习。用户登录,注册,商品的添加删除以及后台的管理程序(Chuanzhi Bookstore Online Bookstore Source Code, suitable for beginners to download and learn. User login, registration, merchandise addition and deletion, and background management procedures)
    2020-06-29 14:00:02下载
    积分:1
  • 57578883zuixiaoercheng
    说明:  matlab 计算电力系统潮流的最小二乘法(Matlab calculation of power system turbulence least squares)
    2019-04-13 09:02:09下载
    积分:1
  • 苏宁易购商城网站菜单,类似京东
    苏宁易购商城网站菜单,类似京东,引入了jquery easing插件,用户体验佳。貌似现在很流行这种风格的菜单,支持多级分类,特别适合购物、电商网站使用,可支持较多的网站分类导航,像前两年的淘宝也使用这种菜单,京东目前也仍在用的一种菜单,推荐给大家。
    2023-07-15 20:00:03下载
    积分:1
  • 粒子群算法试算
    说明:  粒子群算法,也称粒子群优化算法(Particle Swarm Optimization),缩写为 PSO, 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作,它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视,并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization (PSO), also called particle swarm optimization (Particle Swarm Optimization), is abbreviated as PSO, which is a new evolutionary algorithm (Evolutionary Algorithm EA) developed in recent years. PSO algorithm is a kind of evolutionary algorithm. It is similar to simulated annealing algorithm. It also starts from the random solution and finds the optimal solution by iteration. It also evaluates the quality of the solution through fitness, but it is simpler than the genetic algorithm rule. It does not have the crossover (Crossover) and the Mutation operation of genetic algorithm. Search for global optimum. This algorithm has attracted the attention of the academic community for its advantages of easy realization, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization (PSO) is a parallel algorithm.)
    2018-12-25 14:28:52下载
    积分:1
  • 单词计数
    说明:  MapReduce 中WordCount java代码实现(Implementation of wordcount java code in MapReduce)
    2020-06-30 02:20:01下载
    积分:1
  • Happiness-within-mathematics
    科学出版社出版,数学故事,让数学不再枯燥(Science Press, math story, so math is no longer boring)
    2014-03-12 13:43:11下载
    积分:1
  • 696516资源总数
  • 106741会员总数
  • 17今日下载