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The wavelet spectra is a common starting point for estimating the Hurst exponent of a self-similar signal using wavelet-based techniques. The decay of the $\log_2$ average energy of the detail wavelet coefficients as a function of the level…

Methodology · Statistics 2025-12-02 Raymond J. Hinton, , Pepa Ramírez Cobo , Brani Vidakovic

We prove a Calder\'on reproducing formula for the Dunkl continuous wavelet transform on $\mathbb{R}$. We apply this result to derive new inversion formulas for the dual Dunkl-Sonine integral transform.

Classical Analysis and ODEs · Mathematics 2009-07-15 Mohamed Ali Mourou

It is proved by the method of partial fraction expansions and Sturm's oscillation theory that the zeros of certain Hankel transforms are all real and distributed regularly between consecutive zeros of Bessel functions. As an application,…

Classical Analysis and ODEs · Mathematics 2024-11-11 Yong-Kum Cho , Seok-Young Chung , Young Woong Park

Two representations of the Bessel zeta function are investigated. An incomplete representation is constructed using contour integration and an integral representation due to Hawkins is fully evaluated (analytically continued) to produce two…

Mathematical Physics · Physics 2022-11-11 M. G. Naber , B. M. Bruck , S. E. Costello

This paper reviews two different uses of the continuous wavelet transform for modal identification purposes. The properties of the wavelet transform, mainly energetic, allow to emphasize or filter the main information within measured…

Data Analysis, Statistics and Probability · Physics 2016-09-08 Pierre Argoul , Silvano Erlicher

The modified Bessel function of the first kind, $I_{\nu}(x)$, arises in numerous areas of study, such as physics, signal processing, probability, statistics, etc. As such, there has been much interest in recent years in deducing properties…

Probability · Mathematics 2013-11-07 Prakash Balachandran , Weston Viles , Eric D. Kolaczyk

Mathematical formulations and proofs for a wavelet based statistic employed in functional data analysis is elaborately discussed in this report. The propositions and derivations discussed here apply to a wavelet based statistic with hard…

Statistics Theory · Mathematics 2014-08-13 Senthil B. Girimurugan , Eric Chicken

The wavelet transform and related techniques are used to analyze singular and fractal signals. The normalized wavelet scalogram is introduced to detect singularities including jumps, cusps and other sharply changing points. The wavelet…

Signal Processing · Electrical Eng. & Systems 2021-11-04 Hua-Liang Wei , S. A. Billings

The purpose of this article is numerical verification of the thory of weak turbulence. We performed numerical simulation of an ensemble of nonlinearly interacting free gravity waves (swell) by two different methods: solution of primordial…

Atmospheric and Oceanic Physics · Physics 2007-05-23 Alexander O. Korotkevich , Andrei N. Pushkarev , Don Resio , Vladimir E. Zakharov

We introduce first weighted function spaces on Rd using the Dunkl convolution that we call Besov-Dunkl spaces. We provide characterizations of these spaces by decomposition of functions. Next we obtain in the real line and in radial case on…

Analysis of PDEs · Mathematics 2010-05-31 Chokri Abdelkefi

We present a method for the explicit diagonalization of some Hankel operators. This method allows us to recover classical results on the diagonalization of Hankel operators with the absolutely continuous spectrum. It leads also to new…

Spectral Theory · Mathematics 2010-09-09 D. R. Yafaev

This tutorial is designed to clarify a few misconceptions in the field of ultrafast optics. (1) Analytic signal that underlies the complex-conjugate decomposition of the field is discussed, as well as the misunderstanding between…

Optics · Physics 2026-02-18 Yi-Hao Chen

We discuss the propagation of harmonic and transient waves for systems governed by a wave equation with memory whose integral kernel involves ratios of modified Bessel functions of the first kind in the Laplace domain. In particular, the…

Mathematical Physics · Physics 2025-10-14 A. Giusti , I. Colombaro , A. Mentrelli

The wave-function-matching (WFM) technique for first-principles transport-property calculations was modified by S\o{}rensen {\it et al.} so as to exclude rapidly decreasing evanescent waves [S\o{}rensen {\it et al.}, Phys. Rev. B {\bf 77},…

Mesoscale and Nanoscale Physics · Physics 2018-04-04 Shigeru Tsukamoto , Tomoya Ono , Stefan Blügel

The empirical wavelet transform is an adaptive multiresolution analysis tool based on the idea of building filters on a data-driven partition of the Fourier domain. However, existing 2D extensions are constrained by the shape of the…

Spectral Theory · Mathematics 2024-10-28 Basile Hurat , Zariluz Alvarado , Jerome Gilles

In this paper wavelet functions are introduced in the context of $q$-theory. We precisely extend the case of Bessel and $q$-Bessel wavelets to the generalized $q$-Bessel wavelets. Starting from the $(q,v)$-extension ($v=(\alpha,\beta)$) of…

Functional Analysis · Mathematics 2017-05-02 Imen Rezgui , Anouar Ben Mabrouk

In this paper we outline several points of view on the interplay between discrete and continuous wavelet transforms; stressing both pure and applied aspects of both. We outline some new links between the two transform technologies based on…

Computational Engineering, Finance, and Science · Computer Science 2011-11-09 Palle E. T. Jorgensen , Myung-Sin Song

The generalization, similarly to exponential multivariate bases in the Fourier transform, of the Bessel functions to many dimensions is offered. Analogously to the Fourier transform property under the differentiation, the similar Hankel…

Classical Analysis and ODEs · Mathematics 2024-10-21 Victor G. Zakharov

We show that continuous transform with the complex Morlet wavelet is easily performed if we replace the integration of the fast-oscillation function by the solution of the diffusion differential equations. The most important advantage of…

Astrophysics · Physics 2007-05-23 E. B. Postnikov , A. Loskutov

In a parametric framework, the paper is devoted to the study of a new estimation procedure for the inverse filter and the level noise in a complex noisy blind discrete deconvolution model. Our estimation method is a consequence of the sharp…

Statistics Theory · Mathematics 2007-11-06 Emmanuelle Gautherat , Ghislaine Gayraud
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