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In this paper we investigate how the short-time Fourier transform can be extended in a Clifford setting. We prove some of the main properties of the Clifford short-time Fourier transform such as the orthogonality relation, the…

Classical Analysis and ODEs · Mathematics 2021-11-17 Antonino De Martino

The analytic signal is a useful mathematical tool. It separates qualitative and quantitative information of a signal in form of the local phase and local amplitude. The Clifford Fourier transform (CFT) plays a vital role in the…

Complex Variables · Mathematics 2023-07-26 Zhen Feng Cai , Kit Ian Kou

In the present paper, by extending some fractional calculus to the framework of Cliffors analysis, new classes of wavelet functions are presented. Firstly, some classes of monogenic polynomials are provided based on 2-parameters weight…

Classical Analysis and ODEs · Mathematics 2017-04-13 Sabrine Arfaoui , Anouar Ben Mabrouk

In the present paper, we introduce the multidimensional Clifford prolate spheroidal wave functions (CPSWFs) defined on the unit ball as eigenfunctions of a Clifford differential operator and provide a Galerkin method for their computation…

Classical Analysis and ODEs · Mathematics 2021-12-21 Hamed Baghal Ghaffari , Jeffrey A. Hogan , Joseph D. Lakey

The linear canonical wavelet transform has been shown to be a valuable and powerful time-frequency analyzing tool for optics and signal processing. In this article, we propose a novel transform called quaternion linear canonical wavelet…

Functional Analysis · Mathematics 2020-06-15 Aajaz A. Teali

This comprehensive review paper delves into the intricacies of advanced Fourier type integral transforms and their mathematical properties, with a particular focus on fractional Fourier transform (FrFT), linear canonical transform (LCT),…

Classical Analysis and ODEs · Mathematics 2024-02-13 Bivek Gupta , Amit K. Verma

The offset linear canonical transform encompassing the numerous integral transforms, is a promising tool for analyzing non-stationary signals with more degrees of freedom. In this paper, we generalize the windowed offset linear canonical…

Classical Analysis and ODEs · Mathematics 2020-06-22 Aajaz A. Teali

We propose models of quantum neural networks through Clifford algebras, which are capable of capturing geometric features of systems and to produce entanglement. Due to their representations in terms of Pauli matrices, the Clifford algebras…

Quantum Physics · Physics 2022-06-07 Marco A. S. Trindade , Vinicius N. L. Rocha , S. Floquet

In nature, signals often appear in the form of the superposition of multiple non-stationary signals. The overlap of signal components in the time-frequency domain poses a significant challenge for signal analysis. One approach to addressing…

Signal Processing · Electrical Eng. & Systems 2025-10-14 Shuixin Li , Jiecheng Chen , Qingtang Jiang , Jian Lu

In this paper, a fractional version of the Clifford-Fourier transform is introduced, depending on two numerical parameters. A series expansion for the kernel of the resulting integral transform is derived. In the case of even dimension,…

Classical Analysis and ODEs · Mathematics 2012-09-27 Hendrik De Bie , Nele De Schepper

In the field of applied mathematics the Fourier transform has developed into an important tool. It is a powerful method for solving partial differential equations. The Fourier transform provides also a technique for signal analysis where…

Rings and Algebras · Mathematics 2013-06-11 Eckhard Hitzer , Bahri Mawardi

Recently, there has been an increasing interest in the study of hypercomplex signals and their Fourier transforms. This paper aims to study such integral transforms from general principles, using 4 different yet equivalent definitions of…

Classical Analysis and ODEs · Mathematics 2011-01-11 H. De Bie , N. De Schepper , F. Sommen

We define a novel time-frequency analyzing tool, namely linear canonical wavelet transform (LCWT) and study some of its important properties like inner product relation, reconstruction formula and also characterize its range. We obtain…

Functional Analysis · Mathematics 2022-02-25 Bivek Gupta , Amit K. Verma , Carlo Cattani

Following the idea of the fractional space-time Fourier transform, a linear canonical space-time transform for 16-dimensional space-time $C\ell_{3,1}$-valued signals is investigated in this paper. First, the definition of the proposed…

General Mathematics · Mathematics 2024-05-21 Yi-Qiao Xu , Bing-Zhao Li

This paper introduces a couple of new time-frequency transforms, designed to adapt their scale to specific features of the analyzed function. Such an adaptation is implemented via so-called focus functions, which control the window scale as…

Classical Analysis and ODEs · Mathematics 2024-06-19 Pierre Warion , Bruno Torrésani

In this review, an overview is given of several recent generalizations of the Fourier transform, related to either the Lie algebra sl_2 or the Lie superalgebra osp(1|2). In the former case, one obtains scalar generalizations of the Fourier…

Mathematical Physics · Physics 2015-06-11 Hendrik De Bie

Quaternionic Clifford analysis is a recent new branch of Clifford analysis, a higher dimensional function theory which refines harmonic analysis and generalizes to higher dimension the theory of holomorphic functions in the complex plane.…

Complex Variables · Mathematics 2016-04-07 Fred Brackx , Hennie De Schepper , David Eelbode , Roman Lavicka , Vladimir Soucek

The main purpose of this work is the construction of an analytic functional calculus for Clifford operators, which are operators acting on certain modules over Clifford algebras. Unlike in some preceding works by other authors, we use a…

Functional Analysis · Mathematics 2020-08-18 Florian-Horia Vasilescu

Recently, a Monte Carlo approach was proposed for processing highly redundant continuous frames. In this paper we present and analyze applications of this new theory. The computational complexity of the Monte Carlo method relies on the…

Numerical Analysis · Mathematics 2021-10-11 Ron Levie , Haim Avron

Time-frequency representations (TFRs) of signals, such as the windowed Fourier transform (WFT), wavelet transform (WT) and their synchrosqueezed variants (SWFT, SWT), provide powerful analysis tools. However, there are many important issues…

Numerical Analysis · Mathematics 2014-05-27 Dmytro Iatsenko , Peter V. E. McClintock , Aneta Stefanovska
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