搜索资源列表
Compression-sensing
- 压缩传感理论，用K-SVD算法训练字典，过完备字典-Compression sensing theory, SVD algorithm with K- had complete training dictionary, dictionary
k_svd
- 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
k-svd_sparse_represent
- 运用k-svd构建冗余字典，有效提高了字典的鲁棒性。-Using k-SVD build redundant dictionary, effectively improve the robustness of the dictionary.
K-SVD-dictionary-training-algorithms
- 基于KSvd算法的图像重建，包括图像、代码、字典等-K-SVD dictionary training algorithms
KSVD_Matlab_ToolBox
- The K-SVD is a new algorithm for training dictionaries for linear representation of signals. Given a set of signals, the K-SVD tries to extract the best dictionary that can sparsely represent those signals.
ImprovedDL
- 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 Reus
dksvd
- DK-SVD，CVPR文章 Discriminative K-SVD dictionary learning for face recognition 源码，效果好于原始SRC-DK-SVD，the source code of CVPR paper Discriminative K-SVD dictionary learning for face recognition, its has a better performance than the classical SRC classifie
KSVD_Matlab_ToolBox
- K-SVD算法应用，图像去噪，提高图像质量-The K-SVD is a new algorithm for training dictionaries for linear representation of signals. Given a set of signals, the K-SVD tries to extract the best dictionary that can sparsely represent those signals.
K-SVD
- 基于K-SVD的字典学习算法，讲解很透彻，值得一读。-Based on K-SVD dictionary learning algorithms, on the very thorough, well worth reading.
KSVD_Matlab_ToolBox
- 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
KSVD
- 字典 学习 稀疏表示 传统的K-svd训练字典及稀疏稀疏，解压即可用。-Dictionary learning sparse representation of the traditional K- SVD training dictionary and sparse sparse, decompression can use.
OMP
- 经典的OMP算法，应用于构建字典，稀疏系数等，可搭配K-svd中-Classic OMP algorithm, which used to build the dictionary, sparse coefficient, etc., can be used with the K-svd
K-SVD
- 依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。-Based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decomposition item as an updated dictionary of atoms and atomic correspon
K-SVD
- K-SVD是一种经典的字典训练算法，依据误差最小原则，对误差项进行SVD分解，选择使误差最小的分解项作为更新的字典原子和对应的原子系数，经过不断的迭代从而得到优化的解。-K-SVD is a classic dictionary training algorithm, based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decom
Dictionray-Learning
- 压缩感知理论中字典学习算法的实现和对比。2015年新提出的解析解算法和传统的K-SVD算法进行了对比试验。-Compressive sensing theory and comparative dictionary achieve learning algorithms. Analytic solution algorithm and the traditional K-SVD algorithm proposed in 2015 the new test were compared.
K-SVD-algorithm
- KSVD算法，对于字典训练很实用，并且，对于基于稀疏表示方法，可以提高精度-KSVD algorithm for dictionary training is very practical，And, based on sparse representation method, can improve the precision
K-SVD_and_W_KSVD_Sparse_Representation
- 通过字典学习更新的方法，对图像信号进行稀疏化分解(Through the method of learning and updating the dictionary, the image signals are sparse decomposed)
K-SVD_SOMP-master
- 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)
KSVD
- K-SVD图像去噪，仿真结果为原图像，加噪图像，去噪图像和字典原子。(K-SVD image denoising, simulation results for the original image, add noise, image denoising and dictionary atoms.)