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Convolution, Correlation and Uncertainty Principle in the One-Dimensional Quaternion Quadratic-Phase Fourier Transform Domain

Mohammad Younus Bhat (), Aamir H. Dar, Mohra Zayed and Altaf A. Bhat
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Mohammad Younus Bhat: Department of Mathematical Sciences, Islamic University of Science and Technology, Kashmir 192122, India
Aamir H. Dar: Department of Mathematical Sciences, Islamic University of Science and Technology, Kashmir 192122, India
Mohra Zayed: Mathematics Department, College of Science, King Khalid University, Abha 61413, Saudi Arabia
Altaf A. Bhat: University of Technology and Applied Sciences, Salalah 324, Oman

Mathematics, 2023, vol. 11, issue 13, 1-14

Abstract: In this paper, we present a novel integral transform known as the one-dimensional quaternion quadratic-phase Fourier transform (1D-QQPFT). We first define the one-dimensional quaternion quadratic-phase Fourier transform (1D-QQPFT) of integrable (and square integrable) functions on R . Later on, we show that 1D-QQPFT satisfies all the respective properties such as inversion formula, linearity, Moyal’s formula, convolution theorem, correlation theorem and uncertainty principle. Moreover, we use the proposed transform to obtain an inversion formula for two-dimensional quaternion quadratic-phase Fourier transform. Finally, we highlight our paper with some possible applications.

Keywords: quadratic-phase Fourier transform; quaternion quadratic-phase Fourier transform; convolution; two-dimensional inversion formula (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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