Singular value decomposition-based gait characterization [PDF]
Heliyon, 2022 Background: Human gait varies based on personal characteristics, the existence of walking problems, or variability of gait parameters. Identifying the sources of variations is significant in detecting walking problems, designing orthotic/prosthetic ...
Cem Guzelbulut +2 more
doaj +2 more sources
A Multilinear Singular Value Decomposition [PDF]
SIAM 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
Lieven De Lathauwer, Joos Vandewalle
exaly +3 more sources
Singular-Value-Decomposition-Based Matrix Surgery [PDF]
EntropyThis paper is motivated by the need to stabilise the impact of deep learning (DL) training for medical image analysis on the conditioning of convolution filters in relation to model overfitting and robustness.
Jehan Ghafuri, Sabah Jassim
doaj +2 more sources
A note on the unique solvability condition for generalized absolute value matrix equation
Journal of Numerical Analysis and Approximation Theory, 2022 The spectral radius condition \[\rho (\vert A^{-1} \vert\cdot \vert B \vert)
Shubham Kumar, . Deepmala
doaj +1 more source
Broadband Beamforming Using the Least Square Method Improved via Adaptive Diagonal Loading [PDF]
Journal of Electromagnetic Engineering and Science, 2023 The least square method (LSM) is a commonly used beamforming method. However, it limits the beamforming frequency bandwidth and is vulnerable to noise; therefore, diagonal loading is used to overcome these limitations.
Euiho Shin +4 more
doaj +1 more source
A basis of common approach to the development of universal steganalysis methods for digital images
Trudy Odesskogo Politehničeskogo Universiteta, 2014 In this paper a new common approach to the organization of steganalysis in digital images is developed. New features of formal parameters defining the image are identified, theoretically grounded and practically tested.
Алла Анатоліївна Кобозєва
doaj +7 more sources
A Task-Driven Invertible Projection Matrix Learning Algorithm for Hyperspectral Compressed Sensing
Remote Sensing, 2021 The high complexity of the reconstruction algorithm is the main bottleneck of the hyperspectral image (HSI) compression technology based on compressed sensing.
Shaofei Dai +3 more
doaj +1 more source
Numerical Algorithms for Computing an Arbitrary Singular Value of a Tensor Sum
Axioms, 2021 We consider computing an arbitrary singular value of a tensor sum: T:=In⊗Im⊗A+In⊗B⊗Iℓ+C⊗Im⊗Iℓ∈Rℓmn×ℓmn, where A∈Rℓ×ℓ, B∈Rm×m, C∈Rn×n. We focus on the shift-and-invert Lanczos method, which solves a shift-and-invert eigenvalue problem of (TTT−σ˜2Iℓmn)−1 ...
Asuka Ohashi, Tomohiro Sogabe
doaj +1 more source
Variational Quantum Singular Value Decomposition [PDF]
Quantum, 2021 Singular value decomposition is central to many problems in engineering and scientific fields. Several quantum algorithms have been proposed to determine the singular values and their associated singular vectors of a given matrix.
Xin Wang, Zhixin Song, Youle Wang
doaj +1 more source
Research on VFTO Identification of GIS Based on Wavelet Transform and Singular Value Decomposition
Energies, 2022 The accurate identification of Very Fast Transient Overvoltage (VFTO) is the key of overvoltage control in modern smart grids. In order to accurately identify VFTO generated by the operation of a disconnector in Gas Insulated Substation (GIS), a VFTO ...
Gang Xiao +7 more
doaj +1 more source