Results 1 to 10 of about 2,040,052 (266)
Inversion of the Poisson-Hankel transform [PDF]
The Poisson-Hankel transform is defined as an integral transform of the initial temperature function, with the kernel as the source solution of the generalized heat equation.
C. Nasim
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The Hankel transform of causal distributions
In this note we evaluate the unidimensional distributional Hankel transform of \dfrac{x^{\alpha-1}_{+}}{\Gamma^{\alpha}},\dfrac{x^{\alpha-1}_{-}}{\Gamma^{\alpha}},dfrac{|x|^{\alpha-1}}{\Gamma^{\frac{\alpha}{2}}},dfrac{|x|^{\alpha-1}sgn(x)}{\Gamma^{\frac{\
Manuel A. Aguirre T.
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About calculation of the Hankel transform using preliminary wavelet transform [PDF]
The purpose of this paper is to present an algorithm for evaluating Hankel transform of the null and the first kind. The result is the exact analytical representation as the series of the Bessel and Struve functions multiplied by the wavelet coefficients
E. B. Postnikov
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Bispectrum-window convolution via Hankel transform [PDF]
We present a method to perform the exact convolution of the model prediction for bispectrum multipoles in redshift space with the survey window function.
Kevin Pardede+5 more
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Application of the generalized shift operator to the Hankel transform. [PDF]
It is well known that the Hankel transform possesses neither a shift-modulation nor a convolution-multiplication rule, both of which have found many uses when used with other integral transforms.
Baddour N.
europepmc +2 more sources
Convolution of Hankel transform and its application to an integral involving Bessel functions of first kind [PDF]
In the paper a convolution of the Hankel transform is constructed. The convolution is used to the calculation of an integral containing Bessel functions of the first kind.
Vu Kim Tuan, Megumi Saigo
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Epileptiform Activity and Seizure Risk Follow Long-Term Non-Linear Attractor Dynamics. [PDF]
This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Rosch RE+4 more
europepmc +3 more sources
A fast analysis-based discrete Hankel transform using asymptotic expansions [PDF]
A fast and numerically stable algorithm is described for computing the discrete Hankel transform of order $0$ as well as evaluating Schl\"{o}milch and Fourier--Bessel expansions in $\mathcal{O}(N(\log N)^2/\log\!\log N)$ operations.
Townsend, Alex
core +2 more sources
Landauʼs necessary density conditions for the Hankel transform [PDF]
We will prove an analogue of Landau's necessary conditions [Necessary density conditions for sampling and interpolation of certain entire functions, Acta Math.
Luís Daniel Abreu, Afonso S. Bandeira
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New characterizations for Hankel transformable spaces of Zemanian [PDF]
In this paper we obtain new characterizations of the Zemanian spaces Hμ, and H′μ.
J. J. Betancor
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