Results 21 to 30 of about 75,284 (269)
DIFFERENTIABLE DYNAMICAL SYSTEMS [PDF]
This is a survey article on the area of global analysis defined by differentiable dynamical systems or equivalently the action (differentiable) of a Lie group G on a manifold M. An action is a homomorphism G→Diff(M) such that the induced map G×M→M is differentiable.
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Cascade algorithms for combined acoustic feedback cancelation and noise reduction
This paper presents three cascade algorithms for combined acoustic feedback cancelation (AFC) and noise reduction (NR) in speech applications. A prediction error method (PEM)-based adaptive feedback cancelation (PEM-based AFC) algorithm is used for the ...
Santiago Ruiz +2 more
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An approach to BPS black hole microstate counting in an N = 2 STU model
We consider four-dimensional dyonic single-center BPS black holes in the N = 2 STU model of Sen and Vafa. By working in a region of moduli space where the real part of two of the three complex scalars S, T , U are taken to be large, we evaluate the ...
G.L. Cardoso, S. Nampuri, D. Polini
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MYRiAD: a multi-array room acoustic database
In the development of acoustic signal processing algorithms, their evaluation in various acoustic environments is of utmost importance. In order to advance evaluation in realistic and reproducible scenarios, several high-quality acoustic databases have ...
Thomas Dietzen +3 more
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An amendment to this paper has been published and can be accessed via the original article.
Randall Ali +2 more
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Dynamic Reasoning Systems [PDF]
A dynamic reasoning system (DRS) is an adaptation of a conventional formal logical system that explicitly portrays reasoning as a temporal activity, with each extralogical input to the system and each inference rule application being viewed as occurring at a distinct timestep.
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We use continued fractions to perform a systematic and explicit characterization of the decays of two-centred dyonic black holes in 4D N $$ \mathcal{N} $$ = 4 heterotic ℤ N CHL models.
Gabriel Lopes Cardoso +2 more
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Day-ahead energy forecasting systems struggle to provide accurate demand predictions due to pandemic mitigation measures. Decomposition-Residuals Deep Neural Networks (DR-DNN) are hybrid point-forecasting models that can provide more accurate electricity
Konstantinos Theodorakos +3 more
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A nonlinear model for the characterization and optimization of athletic training and performance
Study aim: Mathematical models of the relationship between training and performance facilitate the design of training protocols to achieve performance goals.
Turner James D. +4 more
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We approach the problem of constructing an explicit holographic dictionary for the AdS2/CFT1 correspondence in the context of higher derivative gravitational actions in AdS2 space-times.
Pedro Aniceto +2 more
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