搜索资源列表
基于OMP算法的信号稀疏分解（Gabor字典）
- 基于OMP算法的信号稀疏分解程序
KSVD_Matlab_ToolBox
- KSVD原始算法：信号稀疏表示中的过完备字典的学习算法-KSVD original algorithm: Signal Sparse Representation of the learning algorithm over-complete dictionary
K-SVD工具箱
- 用于信号稀疏表示的K-SVD字典学习算法工具箱，有详细的Demo，方便理解。
ompbox9
- 稀疏分解工具包，采用OMP算法，可用于稀疏字典的构造，压缩感知等领域-Sparse decomposition tool kit, using OMP algorithm, can be used for the construction of sparse dictionary, compressed sensing and other areas
ksvdbox12
- 采用KSVD算法通过训练的方法来构造稀疏过完备字典，在使用时一定要确保已装有ompbox9。可用于语音，图像信号处理等的稀疏字典构造-KSVD algorithm using the method of training to construct the sparse over-complete dictionary, in use, make sure have been installed ompbox9. Can be used for the sparse dictionary cons
gabor_function.m
- 自己写的Gabor方程函数，可以用来产生过完备的稀疏表示字典。-Gabor write their own equation function, can be used to generate the sparse representation over-complete dictionary.
sgLasso
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
aairomp
- 基于压缩传感CS的经典重构算法:正交匹配追踪OMP，能很好的重构稀疏信号。-Compressed sensing based on the classic CS reconstruction algorithms: orthogonal matching pursuit OMP, the reconstruction of sparse signals is well 朗读显示对应的拉丁字符的拼音 字典 翻译以下任意网站El Confidencial-西班牙语Nord-Cine
Face-image-classification-method
- 人脸稀疏分类研究，基于DD-DT CWT多字典的人脸特征稀疏分类方法-Face thinning classification, based on DD-DT CWT dictionary feature sparse classification method
AKSVD
- 该算法是K-SVD算法的一种改进算法。该算法可以用于稀疏字典的学习中。与传统方法相比，能够有效的降低计算量，提高字典更新的速度。-The algorithm is an improved algorithm of K-SVD algorithm. The algorithm can be used to sparse dictionary learning. Compared with conventional methods, it is possible to effectively red
omp
- omp算法，该编码通俗易懂，应用简单。用于求压缩感知中，在字典D已知的前提下，一个信号在该字典上的稀疏表示。-omp algorithm, and compressed sensing, sparse representation of a signal in the dictionary in the dictionary D known premise.
dct-dft--dwt
- 基于Matlab的压缩感知DCT、DWT、DFT正交基及过完备字典稀疏分解信号及重构-Matlab-based compression perception DCT, DWT, DFT orthogonal basis and complete dictionary signal sparse decomposition and reconstruction
KSVD
- 本程序可用于字典学习，稀疏编码，包含MOD,OMP函数-DICTIONARY LEARNING
BPDN
- 基于字典学习的匹配追踪算法，可以用来稀疏表示信号。包含matlab书和代码-Atomizer is a package of Matlab routines for atomic decomposition of signals in various dictionaries
xscj
- 稀疏重建与压缩感知代码，包括MP、OMP算法代码和一个字典-Sparse Reconstruction and compressive sensing code, including MP, OMP algorithm code and a dictionary
CVPR-ScSPM
- 有关线性动态系统的稀疏编码和字典学习的Matlab源代码(Matlab source code about Sparse Coding and Dictionary Learning with Linear Dynamical Systems)
ksvdsbox11-min
- KSVD 算法 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用(KSVD algorithm K-SVD sparse data is represented by building dictionaries, often used for image compression, coding, classification, and other applications)
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)
AnalysisKSVDbox
- K-SVD可以看做K-means的一种泛化形式，K-means算法总每个信号量只能用一个原子来近似表示，而K-SVD中每个信号是用多个原子的线性组合来表示的。 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用。(K-SVD can be regarded as a generalized form of K-means. The total K-means algorithm can only approximate one signal for each sem
Fisher字典学习
- 基于稀疏表示的高光谱图像分类的Fisher字典学习方法matlab代码(Hypersynthetic image classification based on sparse representation in Fisher dictionary learning matlab code.)