Results 11 to 20 of about 275,774 (266)

A Multilinear Singular Value Decomposition [PDF]

open access: yesSIAM Journal on Matrix Analysis and Applications, 2000
This paper investigates higher order singular value decompositions (HOSVD) as multilinear generalization of singular value decomposition (SVD), in terms of higher order tensors exhibiting symmetries as motivated by applications in higher order statistics. This includes matrix representation of higher order tensors, their rank properties, generalization
De Lathauwer, Lieven   +2 more
openaire   +4 more sources

A Novel Strategy for Signal Denoising Using Two-Layer SVD and Its Application to Rub-Impact Fault Diagnosis of Aeroengine

open access: yesApplied Sciences, 2022
The rub-impact fault, which occurs in the aeroengine, can cause frequency modulation (FM) in its vibration signal. Oscillated instantaneous frequency (IF) is a phenomenon of such a modulation mode, which carries critical fault information from the ...
Peng Zhang   +7 more
doaj   +1 more source

Truncated singular value decomposition in ripped photo recovery [PDF]

open access: yesITM Web of Conferences, 2021
Singular value decomposition (SVD) is one of the most useful matrix decompositions in linear algebra. Here, a novel application of SVD in recovering ripped photos was exploited. Recovery was done by applying truncated SVD iteratively.
Lem Kong Hoong
doaj   +1 more source

Scalability of k-Tridiagonal Matrix Singular Value Decomposition

open access: yesMathematics, 2021
Singular value decomposition has recently seen a great theoretical improvement for k-tridiagonal matrices, obtaining a considerable speed up over all previous implementations, but at the cost of not ordering the singular values.
Andrei Tănăsescu   +3 more
doaj   +1 more source

Partial Singular Value Assignment for Large-Scale Systems

open access: yesAxioms, 2023
The partial singular value assignment problem stems from the development of observers for discrete-time descriptor systems and the resolution of ordinary differential equations.
Yiting Huang, Qiong Tang, Bo Yu
doaj   +1 more source

Research on a Noise Reduction Method Based on Multi-Resolution Singular Value Decomposition

open access: yesApplied 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
doaj   +1 more source

Digital Image Watermarking using Singular Value Decomposition [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2010
This paper  presents a digital image watermarking  that  applied theory of linear algebra called “Singular Value Decomposition (SVD)” to digital image watermarking .SVD watermarking scheme, which successfully embeds watermarks into images imperceptible ...
Sura Sheriff
doaj   +1 more source

Singular value decomposition applied to compact binary coalescence gravitational-wave signals [PDF]

open access: yes, 2010
We investigate the application of the singular value decomposition to compact-binary, gravitational-wave data-analysis. We find that the truncated singular value decomposition reduces the number of filters required to analyze a given region of parameter ...
Adrian Chapman   +7 more
core   +2 more sources

Anchor Fault Identification Method for High-Voltage DC Submarine Cable Based on VMD-Volterra-SVM

open access: yesEnergies, 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
doaj   +1 more source

Singular value decomposition in AHP

open access: yesEuropean Journal of Operational Research, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gass, S. I., Rapcsák, T.
openaire   +2 more sources

Home - About - Disclaimer - Privacy