Results 181 to 190 of about 3,041 (214)
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Contrast Enhancement of an Image by DWT-SVD and DCT-SVD
2017In this paper a novel contrast stretching technique is proposed that is based on two methods: (a) Discrete Wavelet Transform (DWT) followed by SVD and (b) Discrete Cosine Transform (DCT) followed by SVD where SVD refers to Singular Value Decomposition.
Sugandha Juneja, Rohit Anand
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Stability and Performance of the SVD System
IEEE Transactions on Automatic Control, 2017This paper presents theoretical guarantees for the stability and performance for the singular value decomposition (SVD) system. The SVD System uses the SVD to reduce the dimension of the control inputs within a feedback loop. This is used to meet the rank 1 input constraint imposed by the row-column structure.
Ryder C. Winck, Wayne J. Book
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On the applications of SVD in fault diagnosis
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004Practically measured time series signals are reconstructed in phase space. By using singular value decomposition (SVD) theory, the method of singular spectrum characteristic based on the reconstructed attractor track matrix is proposed to increase the signal noise ratio (SNR), then the detection of abrupt information and early rub-impact detection of ...
Ruixin Li +3 more
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Neurology, 2014
In their article “Stroke subtype, vascular risk factors, and total MRI brain small-vessel disease burden,” Dr. Staals and colleagues1 at the University of Edinburgh (Scotland) looked at a new way of assessing strokes. Their goal was to see whether they could design a simpler way to use MRI in the evaluation of certain kinds of stroke.
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In their article “Stroke subtype, vascular risk factors, and total MRI brain small-vessel disease burden,” Dr. Staals and colleagues1 at the University of Edinburgh (Scotland) looked at a new way of assessing strokes. Their goal was to see whether they could design a simpler way to use MRI in the evaluation of certain kinds of stroke.
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Performance evaluation of RDWT-SVD and DWT-SVD watermarking schemes
AIP Conference Proceedings, 2016Digital image watermarking protects content by embedding a signal (i.e., owner information) into the host image without noticeable degradation in visual quality. To develop any image watermarking scheme, there some important requirements should be achieved such as imperceptibly, robustness, capacity, security, and, etc.
Taha H. Rassem +2 more
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W-Cycle SVD: A Multilevel Algorithm for Batched SVD on GPUs
SC22: International Conference for High Performance Computing, Networking, Storage and Analysis, 2022Junmin Xiao +8 more
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PCA and SVD with nonnegative loadings
Pattern Recognition, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2013
The article considers an approach to solving a Fredholm integral equation of the first kind by truncated SVD decomposition using the generalized residual principle for determining the optimal solution.
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The article considers an approach to solving a Fredholm integral equation of the first kind by truncated SVD decomposition using the generalized residual principle for determining the optimal solution.
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A review on the selection criteria for the truncated SVD in Data Science applications
Journal of Computational Mathematics and Data Science, 2022Antonella Falini
exaly