Results 21 to 30 of about 34,370,538 (356)
Sea Spectral Estimation Using ARMA Models
Sensors, 2021 This paper deals with the spectral estimation of sea wave elevation time series by means of ARMA models. To start, the procedure to estimate the ARMA coefficients, based on the use of the Prony’s method applied to the auto-covariance series, is presented.
Marta Berardengo +2 more
doaj +1 more source
A survey of spectral models of gravity coupled to matter [PDF]
Advances in Noncommutative Geometry, 2019 This is a survey of the historical development of the Spectral Standard Model and beyond, starting with the ground breaking paper of Alain Connes in 1988 where he observed that there is a link between Higgs fields and finite noncommutative spaces.
A. Chamseddine, W. V. van Suijlekom
semanticscholar +1 more source
Physics-Capturing Discretizations for Spectral Wind-Wave Models
Fluids, 2021 This paper discusses the discretization methods that have been commonly employed to solve the wave action balance equation, and that have gained a renewed interest with the widespread use of unstructured grids for third-generation spectral wind-wave ...
Marcel Zijlema
doaj +1 more source
Improved spectral models for relativistic reflection [PDF]
Monthly notices of the Royal Astronomical Society, 2018 We have developed improved spectral models of relativistic reflection in the lamppost and disc-corona geometries. The models calculate photon transfer in the Kerr metric and give the observed photon-energy spectra produced by either thermal ...
A. Niedźwiecki +2 more
semanticscholar +1 more source
How Powerful are Spectral Graph Neural Networks [PDF]
International Conference on Machine Learning, 2022 Spectral Graph Neural Network is a kind of Graph Neural Network (GNN) based on graph signal filters. Some models able to learn arbitrary spectral filters have emerged recently. However, few works analyze the expressive power of spectral GNNs.
Xi-Yuan Wang, Muhan Zhang
semanticscholar +1 more source
Self-consistent Black Hole Accretion Spectral Models and the Forgotten Role of Coronal Comptonization of Reflection Emission [PDF]
, 2017 Continuum and reflection spectral models have each been widely employed in measuring the spins of accreting black holes. However, the two approaches have not been implemented together in a photon-conserving, self-consistent framework.
J. Steiner +6 more
semanticscholar +1 more source
Spectral form factor in sparse SYK models
Journal of High Energy Physics, 2022 We investigate the spectral form factor of the sparse Sachdev-Ye-Kitaev model. We use numerical methods to establish that at intermediate times the connected part of the spectral form factor is the dominant one.
Elena Cáceres +2 more
doaj +1 more source
Spectral curves and W-representations of matrix models
Journal of High Energy Physics, 2023 We explain how the spectral curve can be extracted from the W $$ \mathcal{W} $$ -representation of a matrix model. It emerges from the part of the W $$ \mathcal{W} $$ -operator, which is linear in time-variables.
A. Mironov, A. Morozov
doaj +1 more source
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration [PDF]
IEEE International Conference on Computer Vision, 2023 Diffusion models have recently received a surge of interest due to their impressive performance for image restoration, especially in terms of noise robustness.
Yuchun Miao +3 more
semanticscholar +1 more source
CoRR, 2023 This paper studies sequence modeling for prediction tasks with long range dependencies. We propose a new formulation for state space models (SSMs) based on learning linear dynamical systems with the spectral filtering algorithm (Hazan et al. (2017)).
Naman Agarwal +3 more
openaire +2 more sources