Results 111 to 120 of about 56,667 (302)

On the impact of observation‐error correlations in data assimilation, with application to along‐track altimeter data

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We study the impact of observation‐error correlations in data assimilation using both a simple idealised system and a more realistic configuration. A spectral analysis of data assimilation in the idealised system allows us to gain insights on the effect of observation‐error correlations, which are then validated using the realistic configuration.
Olivier Goux   +4 more
wiley   +1 more source

The relativistic Laguerre polynomials [PDF]

open access: yesRendiconti di Matematica e delle Sue Applicazioni, 1996
A new relativistic-type polynomial system is defined by means of the Relativistic Hermite Polynomial system, introduced recently by V.Aldaya et al. to express the wave functions of the quantum relativistic harmonic oscillator.
P. NATALINI
doaj  

On the modifications of classical orthogonal polynomials: The symmetric case

open access: yesApproximation Theory and its Applications, 1998
We consider the modifcations of the monic Hermite and Gegenbauer polynomials via the addition of one point mass at the origin. Some properties of the resulting polynomials are studied: three-term recurrence relation, differential equation, ratio asymptotics, hypergeometric representation as well as, for large n, the behaviour of their zeros.
Álvarez Nodarse, Renato   +1 more
openaire   +3 more sources

Statistical Complexity of Quantum Learning

open access: yesAdvanced Quantum Technologies, EarlyView.
The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi   +3 more
wiley   +1 more source

New Characterizations of Discrete Classical Orthogonal Polynomials

open access: yesJournal of Approximation Theory, 1997
AbstractWe prove that if both {Pn(x)}∞n=0and {∇rPn(x)}∞n=rare orthogonal polynomials for any fixed integer r⩾1, then {Pn(x)}∞n=0must be discrete classical orthogonal polynomials. This result is a discrete version of the classical Hahn's theorem stating that if both {Pn(x)}∞n=0and {(d/dx)rPn(x)}∞n=rare orthogonal polynomials, then {Pn(x)}∞n=0are ...
Kwon, KH Kwon, Kil Hyun   +2 more
openaire   +3 more sources

Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search

open access: yesAdvanced Quantum Technologies, EarlyView.
This article proposes the Progressive Widening enhanced Monte Carlo Tree Search (PWMCTS) to design parameterized quantum circuits. It improves the efficiency of the previous MCTS‐based techniques in terms of number of quantum circuit evaluation, number of gates and CNOT count.
Vincenzo Lipardi   +3 more
wiley   +1 more source

Direct Data‐Driven State‐Feedback Control of Linear Parameter‐Varying Systems

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The framework of linear parameter‐varying (LPV) systems has shown to be a powerful tool for the design of controllers for complex nonlinear systems using linear tools. In this work, we derive novel methods that allow us to synthesize LPV state‐feedback controllers directly from only a single sequence of data and guarantee stability and ...
Chris Verhoek   +2 more
wiley   +1 more source

New fractional-order shifted Gegenbauer moments for image analysis and recognition

open access: yesJournal of Advanced Research, 2020
Orthogonal moments are used to represent digital images with minimum redundancy. Orthogonal moments with fractional-orders show better capabilities in digital image analysis than integer-order moments.
Khalid M. Hosny   +2 more
doaj  

Applications of Artificial Intelligence in Neurological Voice Disorders

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao   +2 more
wiley   +1 more source

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