Results 31 to 40 of about 6,697,803 (274)
The General Linear Model and the Generalized Singular Value Decomposition [PDF]
, 2009 The general linear model with correlated error variables can be transformed by means of the generalized singular value decomposition to a very simple model (canonical form) where the least squares solution is obvious.
Knüsel, Leo
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Research on a Noise Reduction Method Based on Multi-Resolution Singular Value Decomposition
Applied Sciences, 2020 Reducing noise pollution in signals is of great significance in the field of signal detection. In order to reduce the noise in the signal and improve the signal-to-noise ratio (SNR), this paper takes the singular value decomposition theory as the ...
Gang Zhang +6 more
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The General Linear Model and the Generalized Singular Value Decomposition; Some Examples [PDF]
, 2009 The general linear model with correlated error variables can be transformed by means of the generalized singular value decomposition to a very simple model (canonical form) where the least squares solution is obvious.
Knüsel, Leo
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Anchor Fault Identification Method for High-Voltage DC Submarine Cable Based on VMD-Volterra-SVM
Energies, 2023 This article introduces a new method for identifying anchor damage faults in fiber composite submarine cables. The method combines the Volterra model of Variation Mode Decomposition (VMD) with singular value entropy to improve the accuracy of fault ...
Wenwei Zhu +6 more
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Singular value decomposition in AHP
European Journal of Operational Research, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Saul I. Gass, Tamás Rapcsák
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Toward efficacy of piecewise polynomial truncated singular value decomposition algorithm in moving force identification [PDF]
, 2019 This paper introduces and evaluates the piecewise polynomial truncated singular value decomposition (PP-TSVD) algorithm toward an effective use for moving force identification (MFI).
Zhao, Shunbo +4 more
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International Journal of Distributed Sensor Networks, 2020 Sparse decomposition has excellent adaptability and high flexibility in describing arbitrary complex signals based on redundant and over-complete dictionary, thus having the advantage of being free from the limitations of traditional signal processing ...
Hongchao Wang, Wenliao Du
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Products, Coproducts, and Singular Value Decomposition [PDF]
International Journal of Theoretical Physics, 2006 17 pages, three eps ...
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TRUST MODEL FOR SOCIAL NETWORK USING SINGULAR VALUE DECOMPOSITION [PDF]
Interdisciplinary Description of Complex Systems, 2016 For effective interactions to take place in a social network, trust is important. We model trust of agents using the peer to peer reputation ratings in the network that forms a real valued matrix.
Davis Bundi Ntwiga +2 more
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Zhongguo dianli, 2021 Partial discharge signals are prone to missed detection under low signal-to-noise ratios, and the traditional singular value decomposition algorithm requires massive calculations when extracting partial discharge pulses.
Li WANG, Wei ZHANG, Dingnan LUO
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