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CSR_Denoising
- 该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）-It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the
AR-model
- 用AR模型法估计1/f噪声参数。分别用SVD分解及矩阵求逆法估计AR参数-Using AR model to estimate the parameters of 1/f noise.
SVDaPRRONY
- SVD滤波技术与Prony谱线估_省略_合的异步电动机转子故障检测新方法_许伯强-SVD filtering technology and Prony line for government, a new method of asynchronous motor rotor fault detection
svd
- 基于l1范数加权的奇异值分解的波达估计。。。。。。。。。。基于l1范数加权的奇异值分解的波达估-Estimation of Singular Value Decomposition Based on l1 Norm Weighting
cysteq-aarow
- MIMO注水原理的简单运用,有助于理解SVD分解,注水算法,很好-Simple application of the principle of MIMO waterflood, help to understand the SVD decomposition, water flooding algorithm, is very good
DLMRI_v6
- 基于K-SVD的字典学习，适用于图像重构及图像去噪-classic K-SVD for dictionary learning
奇异值分解波束形成MATLAB程序
- 奇异值分解的波束形成MATLAB代码, 很有用的程序 运行没有问题(code for SVD beamforming)
人脸识别代码
- 通过奇异值分解作为特征处理，训练人脸识别分类器，附带测试图片(Singular value decomposition (SVD) is used as feature processing to train the face recognition classifier)
基于小波变换的信号奇异性检测及去噪例程
- 这个程序是基于小波变换的信号奇异性检测及去噪 的一些例程(using wavelet method and SVD to process the signal and denoise)
change_wallpaper
- 该程序是构造的hankel矩阵，一般用于SVD处理。(Construction descr iption of Hankel matrix)
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)
ksvdbox13
- 奇异值分解算法，用于字典的学习和构建，可以很好的对数据进行降维和稀疏化。(Singular value decomposition algorithm for the study and construction of the dictionary, can be a good data for dimensionality and thinning.)
ompbox
- K-SVD算法用于稀疏表达，基于OMP算法。(The algorithm is apply for the sparse representation.)
dwt_blind_watermark
- 利用小波变换给数字加盲水印的代码。 svd+dwt(a method using svd and dwt to embed and extract water mark from image)
01661951
- MIMO注水原理的简单运用,有助于理解SVD分解,注水算法,很好(Simple application of the principle of MIMO waterflood, help to understand the SVD decomposition, water flooding algorithm, is very good)
svdganftibianhuan
- 利用SVD分解求三维坐标系刚体变换配准矩阵(Space alignment matrix)
reconstruction
- 基于接收矩阵的稀疏重构，L1-SVD，阵列信号处理方面(Based on the sparse reconstruction of the received matrices, L1-SVD, array signal processing is presented)
Image Compression using SVD
- feflkglklsklgvslg;k;lk;lekg;k;lsk;kg;lgglsekgleskglsjgklesj
solarized
- 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.
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)