Results 11 to 20 of about 7,643,719 (306)
Spectral models are often used in the study of geodynamo problems. Physical fields in these models are presented as stationary basic modes combinations with time-dependent amplitudes. To construct a model it is necessary to calculate the modes parameters,
Gleb Vodinchar, Liubov Feshchenko
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Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview
There is a need to update soil maps and monitor soil organic carbon (SOC) in the upper horizons or plough layer for enabling decision support and land management, while complying with several policies, especially those favoring soil carbon storage.
Emmanuelle Vaudour +11 more
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Spectral Method in Epidemic Time Series: Application to COVID-19 Pandemic
Background: The age of infection plays an important role in assessing an individual’s daily level of contagiousness, quantified by the daily reproduction number.
Jacques Demongeot, Pierre Magal
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Sea Spectral Estimation Using ARMA Models
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
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Physics-Capturing Discretizations for Spectral Wind-Wave Models
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
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Differentiable Measures for Speech Spectral Modeling
Autoregressive models for the envelope of speech power spectral densities (PSDs) are refined by the self-supervised spectral learning machine (S3LM) provided with differentiable spectral objective functions, including the Itakura-Saito divergence (ISD ...
Miguel Arjona Ramirez +3 more
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Spectral form factor in sparse SYK models
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
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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
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Spectral curves and W-representations of matrix models
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
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Theory and assessment of an improved power spectral density estimator [PDF]
This thesis is concerned with the processing of time domain signals received by a single sensor. An example of such signals is the radar return, which is used in one way or another to estimate the power spectral density a frequency representation of ...
Ali, Ali Abbas
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