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Search - svd - List
【
Other
】
change_wallpaper
DL : 0
该程序是构造的hankel矩阵,一般用于SVD处理。(Construction description of Hankel matrix)
Update
: 2024-05-20
Size
: 92160
Publisher
:
GOD康
【
matlab
】
ksvdsbox11-min
DL : 0
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)
Update
: 2024-05-20
Size
: 43008
Publisher
:
哈哈星星
【
matlab
】
ksvdbox13
DL : 0
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.)
Update
: 2024-05-20
Size
: 836608
Publisher
:
vinofly
【
AI-NN-PR
】
ompbox
DL : 0
K-SVD算法用于稀疏表达,基于OMP算法。(The algorithm is apply for the sparse representation.)
Update
: 2024-05-20
Size
: 52224
Publisher
:
长枪依在
【
Crack Hack
】
dwt_blind_watermark
DL : 0
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)
Update
: 2024-05-20
Size
: 3072
Publisher
:
tscmga
【
Special Effects
】
01661951
DL : 0
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)
Update
: 2024-05-20
Size
: 2048
Publisher
:
zpllhyph
【
Special Effects
】
svdganftibianhuan
DL : 0
利用SVD分解求三维坐标系刚体变换配准矩阵(Space alignment matrix)
Update
: 2024-05-20
Size
: 2048
Publisher
:
q1925642744
【
Other
】
reconstruction
DL : 1
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)
Update
: 2024-05-20
Size
: 1024
Publisher
:
dryna
【
Compress-Decompress algrithms
】
Image Compression using SVD
DL : 0
feflkglklsklgvslg;k;lk;lekg;k;lsk;kg;lgglsekgleskglsjgklesj
Update
: 2024-05-20
Size
: 31744
Publisher
:
world991
【
matlab
】
solarized
DL : 0
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.
Update
: 2024-05-20
Size
: 259072
Publisher
:
world991
【
Special Effects
】
K-SVD_and_W_KSVD_Sparse_Representation
DL : 0
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)
Update
: 2024-05-20
Size
: 486400
Publisher
:
smile北
【
Special Effects
】
58706
DL : 0
matlab watermark lu svd
Update
: 2024-05-20
Size
: 2048
Publisher
:
deabes
【
Special Effects
】
watermarking-hybrid-DWT-DCT-SVD-master
DL : 0
一段简单有效使用的数字水印嵌入的实现,简单有效(A useful watermark program ithink)
Update
: 2024-05-20
Size
: 3089408
Publisher
:
这么麻烦的注册
【
Algorithm
】
matrix_relatedAlgorithm
DL : 0
矩阵先关运算,比如特征值分解,矩阵求逆。(Matrix related computation code, such as eigen value compuation, matrix inversion, etc.)
Update
: 2024-05-20
Size
: 50176
Publisher
:
plasoldier
【
Other
】
durga
DL : 0
DWT and SVD are used as a scientific means to implant watermark in the image. The quality of watermarked image is measured by Peak signal to noise ratio (PSNR)
Update
: 2024-05-20
Size
: 14106624
Publisher
:
saranya
【
Windows Develop
】
pca
DL : 0
通过主成分分析可以对混合物量测矩阵进行svd分解,截取特征值大的变量,可以滤掉一些无关信息,使计算量更小(Through the principal component analysis of the mixture can be measured matrix svd decomposition, interception of large eigenvalues of variables, you can filter out some irrelevant information, so that the calculation of smaller)
Update
: 2024-05-20
Size
: 3072
Publisher
:
没人鱼985
【
Communication-Mobile
】
makbol2016
DL : 0
visual cryptography using dwt-svd paper
Update
: 2024-05-20
Size
: 1600512
Publisher
:
sivaparvath
【
Other
】
DWT-DCT-SVD based Hybrid lossy
DL : 0
a new hybrid transform coding methodology for lossy image compression that integrates discrete wavelet transform, discrete cosine Transform and singular value decomposition methods is proposed. The proposed system has enhancements in both the compression ratio and the computational time.
Update
: 2024-05-20
Size
: 399360
Publisher
:
hiyam
【
Other
】
pca using svd
DL : 0
Principal components analysis is one of a family of techniques for taking high-dimensional data, and using the dependencies between the variables to represent it in a more tractable, lower-dimensional form, without losing too much information. PCA is one of the simplest
Update
: 2024-05-20
Size
: 574464
Publisher
:
hiyam
【
Algorithm
】
SVDBasedImageQualityMeasure
DL : 0
svd based visual quality measurement has been taken place
Update
: 2024-05-20
Size
: 125952
Publisher
:
chittu
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