搜索资源列表
KSVD
- 图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等-Sparse image coding method can be used for sparse representation-based image compression, denoising, etc.
compressedsensing_OMP
- 压缩感知 正交匹配追踪一些人关心压缩感知与雷达成像，他们把稀疏表示放在最重要的地方，以为在雷达成像中成功实现压缩感知关键是稀疏表示； 事实上并不是如此。我们知道：压缩感知需要建立AX=B,且该方法具有较低的抑制信噪比能力；另外雷达成像的基础是雷达 信号与目标的相互作用，也就是电磁波与介质的相互作用，该相互作用是一个非常复杂的非线性问题，因此研究这个问题与 压缩感知的关系才是解决雷达成像问题的关键点所在。从另
KSVD_Matlab_ToolBox
- 应用于稀疏表示的KVSD算法，MABLAB-KVSD algorithm applied to sparse representation, MABLAB
Matlab-for-Image-Representation
- 图像稀疏表示的MATLAB编程代码，有图-MATLAB sparse representation of the image programming code, a map
ompbox
- 稀疏表示正交匹配追踪算法matlab源代码-sparse representation
KSVD_Matlab_ToolBox
- 图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等-Sparse image coding method can be used for sparse representation-based image compression, denoising, et
lunwen
- 关于图像稀疏表示的鲁棒掌纹处理，在国内很少有基于稀疏的掌纹处理文章-Robust sparse representation on the palm print image processing, very few in the country' s palm with posts based on sparse
L1-Homotopy-ALM
- 基于稀疏表示的人脸识别，里面有9种求1范数的方法-Face recognition based on sparse representation, there are nine kinds of seeking a method of norm
Sparse-and-Redundant-Representations
- Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing，稀疏表示的最新巨作-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing, sparse representa
sparse
- 本压缩包包含了图像处理中稀疏表示的相关文献以及相关代码-This archive contains a sparse representation of image processing literature and related code
Metaface_ICIP
- 利用稀疏表示一集字典学习的方法进行人脸自动识别的Matlab算法，是经典SRC方法的提高-That a sparse set of dictionary use of learning methods in Matlab automatic face recognition algorithms, is the classic method of improving SRC
A-Sparse-Learning-Package
- 美国莱斯大学压缩感知稀疏学习工具箱，能把信号进行稀疏表示，进而实现远低于奈奎斯特抽样速率的压缩感知-Rice University study Toolbox sparse compressed sensing, sparse representation of the signal can, thus achieving much lower than the Nyquist sampling rate of the compress
Sparse-Representation
- 稀疏表示应用研究 信号稀疏表示方法研究及国内外研究现状-the method of Sparse Representation
l1_ls_nonneg
- 用于稀疏表示求解L1稀疏系数，特点是本程序是用于求解非负的稀疏系数-this procedure is used to solve the sparse non-negative coefficient
l1_ls
- 稀疏表示分类算法，用于样本分类的数学算法-Sparse that classification algorithms, mathematical algorithms for sample classification
l1magic-optimization
- 代码实现稀疏表示中的l1范式中的7个优化问题。对大家实现稀疏表示算法有极大的参考价值-This package contains code for l1 magic solving seven optimization problems.
eccv10_tutorial_part2
- 稀疏编码图像分类, 稀疏表示创始人写的PPT,内容精彩,分析清晰,易于理解(sparse coding image classification, PPT written by the original author of sparse representation, the PPT content is easy to realize with clear illustration and analysis.)
杨建超ScSR
- 杨建超基于稀疏表示的超分辨率方法，很好的算法(Yang Jianchao based on sparse representation of the super-resolution method, a good algorithm)
SPAMS
- 先输入数据生成相应的字典，再输入检测信号后得到用字典稀疏表示的结果(First input data, generate the corresponding dictionary, and then input the detection signal to obtain sparse dictionary results)
SparseFusion_2014-12-03
- 基于稀疏表示的多光谱图像融合源代码，用于pansharpening(sparse-based mutispectral image fusion)