Results 91 to 100 of about 26,670 (208)
Parametric Study of Stochastic Subspace Algorithms in Modal Analysis of Moment‐Resistant Frames [PDF]
Numerical Methods in Civil EngineeringThe Finite Element Model (FEM) derived from the design drawings may not precisely depict the behavior of the actual structure. This is due to various factors, such as construction variations, uncertainties in boundary conditions, discrepancies in ...
Mehran Pourgholi, Saied Mahdavi
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Optimal solutions to matrix-valued Nehari problems and related limit theorems
, 2011 In a 1990 paper Helton and Young showed that under certain conditions the optimal solution of the Nehari problem corresponding to a finite rank Hankel operator with scalar entries can be efficiently approximated by certain functions defined in terms of ...
AE Frazho +15 more
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Magnetic Resonance in Medicine, Volume 93, Issue 6, Page 2311-2330, June 2025.Abstract Purpose To enhance SNR per unit time of diffusion MRI to enable high spatial resolution and extensive q‐sampling in a feasible scan time on clinical scanners. Methods 3D multi‐shot enhanced recovery motion‐insensitive diffusion (MERMAID) consists of a whole brain nonselective 3D multi‐shot spin‐echo sequence with an inversion pulse immediately
Sajjad Feizollah, Christine L. Tardif
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$ L_2/L_1 $ induced norm and Hankel norm analysis in sampled-data systems
AIMS MathematicsThis paper is concerned with the $ L_2/L_1 $ induced and Hankel norms of sampled-data systems. In defining the Hankel norm, the $ h $-periodicity of the input-output relation of sampled-data systems is taken into account, where $ h $ denotes the sampling
Tomomichi Hagiwara , Masaki Sugiyama
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The Hurwitz-type theorem for the regular Coulomb wave function via Hankel determinants
, 2018 We derive a closed formula for the determinant of the Hankel matrix whose entries are given by sums of negative powers of the zeros of the regular Coulomb wave function.
Baricz, Árpád, Štampach, František
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WAND: Wavelet Analysis‐Based Neural Decomposition of MRS Signals for Artifact Removal
NMR in Biomedicine, Volume 38, Issue 6, June 2025.Wavelet analysis‐based neural decomposition (WAND) is a novel method for decomposing magnetic resonance spectroscopy signals into metabolite‐specific, baseline, and artifact components. WAND employs a U‐Net architecture trained on simulated spectra to predict masks for wavelet coefficients, effectively isolating the desired signal components.
Julian P. Merkofer +5 more
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Algorithms for triangular decomposition of block Hankel and Toeplitz matrices with application to factoring positive matrix polynomials [PDF]
, 1973 J. Rissanen
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Catalan Transform of k-Balancing Sequences
International Journal of Mathematics and Mathematical Sciences, 2021 In this work, the Catalan transformation (CT) of k-balancing sequences, Bk,nn≥0, is introduced. Furthermore, the obtained Catalan transformation CBk,nn≥0 was shown as the product of lower triangular matrices called Catalan matrices and the matrix of k ...
Asim Patra, Mohammed K. A. Kaabar
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Fine Detection of Transient Signals in GNSS Time Series Using Multi‐Station Hankel Spectrum Analysis
Journal of Geophysical Research: Solid Earth, Volume 130, Issue 6, June 2025.Abstract Fine detection of micro‐transient deformations exhibiting diverse spatiotemporal patterns is crucial for unraveling geophysical processes in geodetic data sets, despite the challenges posed by high noise levels and correlated periodic signals.
Kunpeng Shi +5 more
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, 2005 We investigate the asymptotics of the determinant of N by N Hankel matrices generated by Fisher-Hartwig symbols defined on the real line, as N becomes large. Such objects are natural analogues of Toeplitz determinants generated by Fisher-Hartwig symbols,
Garoni, T. M.
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