Welcome![Sign In][Sign Up]
Location:
Search - K-SVD matlab

Search list

[Graph programKSVD_Matlab_ToolBox

Description:
Platform: | Size: 6256640 | Author: 黎平 | Hits:

[matlabCodeBook

Description: Code MATLAB in S. Theodoridis, A. Pikrakis, K. Koutroumbas, D. Cavouras - Introduction to Pattern Recognition: A MATLAB Approach
Platform: | Size: 1081344 | Author: Jan | Hits:

[matlabalg_KSVD

Description: The K-SVD algorithm written in Matlab
Platform: | Size: 3072 | Author: Hallab | Hits:

[matlabK-SVD-dictionary-training-algorithms

Description:
Platform: | Size: 1852416 | Author: 沐广文 | Hits:

[Special Effectsk_svd

Description: k-svd算法m代码.用于形成冗余字典,对图像进行稀疏分解-m k-svd algorithm code used to create a redundant dictionaries, sparse decomposition of images
Platform: | Size: 12544000 | Author: 谢一天 | Hits:

[OtherKSVD-dictionary-learning-Matlab

Description: 这个程序可以对KSVD进行综合测试。首先,会产生一个随机的正交字典,会产生一个KSVD算法输入,这个输入是一个数据信号集合,每个元素都是三维元素的线性组合。-In this file a synthetic test of the K-SVD algorithm is performed. First, a random dictionary with normalized columns is being generated, and then a set of data signals, each as a linear combination of 3 dictionary element is created, with noise level of 20SNR. this set is given as input to the K-SVD algorithm.
Platform: | Size: 13312 | Author: | Hits:

[Special EffectsImprovedDL

Description: 这是一篇SCI文章《改善字典学习:多字典更新和系数重用》里的Matlab代码,包含了OMP、Batch-OMP、CoROMP等匹配跟踪算法代码以及改进的K-SVD字典学习算法代码,是图像稀疏表示研究方向重要的源代码,有助于大家学习和改进。-This file folder reproduces the Figures for paper:"Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse".It contains codes of the OMP, Batch code- OMP, CoROMP matching pursuit algorithm and improved K- SVD dictionary learning algorithm ,This is the important source code of image sparse representation ,which can help you learn and improve.
Platform: | Size: 3080192 | Author: 汪玉珍 | Hits:

[matlabspams-matlab-v2.5-svn2014-07-04.tar

Description: 字典学习的各种方法,K-SVD,online等主要的学习算法-Various methods dictionary learning, K-SVD, online learning algorithms and other major
Platform: | Size: 1502208 | Author: 靳杰 | Hits:

[matlabK-SVD_code

Description: 做实验时找到的K-SVD算法的Matlab代码,很好用,有需要的可以下载下来一起研究下-When doing experiments to find the K-SVD algorithm Matlab code, easy to use, there is a need to study together can be downloaded under
Platform: | Size: 5120 | Author: 刘振 | Hits:

[matlabK-SVD_Dictionary-training

Description: k-SVD 字典训练 matlab源代码,欢迎有需要的下载一起研究-k-SVD dictionary training matlab source code, welcomed the need to download the study together
Platform: | Size: 7168 | Author: 刘振 | Hits:

[Special EffectsKSVD_Matlab_ToolBox

Description: 稀疏表示字典的训练方法,由压缩感知领域大神M. Elad公布的matlab工具包-matlab tools for K-SVD
Platform: | Size: 6264832 | Author: 蒋翔 | Hits:

[Otherk-svd-codeappt

Description: 内含用matlab编写的k-svd算法代码.可以对图像进行稀疏分解,另附ppt对ksvd进行理论学习-Includes using matlab k-svd algorithm code. Images can be sparse decomposition, attached ppt theoretical study of ksvd
Platform: | Size: 13321216 | Author: | Hits:

[Graph programKSVD-ToolBox

Description: KSVD稀疏表示matlab代码,有3个demo示例程序,可实现一维二维信号的稀疏表示。-K SVD sparse representation matlab code, there are three demo sample program can achieve one-dimensional two-dimensional signal sparse representation.
Platform: | Size: 6262784 | Author: cherish | Hits:

[matlabsolarized

Description: rform_dictionary_learning - learn a dictionnary using K-SVD algorithm. %. % [D,X,E] ... The number of iteration for sparse coding during each step of learning. % is given by ... 'mod': in this case, the dictionary update is computed using the L2.
Platform: | Size: 259072 | Author: world991 | Hits:

[Graph programK-SVD_SOMP-master

Description: 基于K-SVD方法的图像去噪算法,代码是MATLAB版的(Image denoising algorithm based on K-SVD method, the code is MATLAB version of)
Platform: | Size: 37888 | Author: teslahua | Hits:

[Special EffectsK-SVD

Description: KSVD的稀疏编码去噪的matlab版本算法(Sparse encoding KSVD denoising algorithm)
Platform: | Size: 3072 | Author: nirener0 | Hits:

[matlabdemo

Description: K-SVD图片去噪,直接运行其中quzao.m文件即可。(K-SVD image denoising, directly run the quzao.m file.)
Platform: | Size: 31744 | Author: 反对毒菜 | Hits:

CodeBus www.codebus.net