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A convolution-based special affine wavelet transform

Firdous A. Shah, Azhar Y. Tantary, Ahmed I. Zayed

2020Integral Transforms and Special Functions20 citationsDOI

Abstract

In the article ‘Convolution and product theorems for the special affine Fourier transform’ [In: Nashed MZ, Li X, editors. Frontiers in orthogonal polynomials and q-series. World Scientific; 2018. p. 119–137], a convolution structure is presented in the realm of the special affine Fourier transform. In continuation of the study, we introduce a novel integral transform coined the special affine wavelet transform by combining the merits of the well-known special affine Fourier and wavelet transforms via the special affine convolution. The preliminary analysis encompasses the derivation of fundamental properties, Moyal's principle, inversion formula and range theorem. Subsequently, we obtain a mild extension of Heisenberg's uncertainty principle and also develop an analogue of Pitt's inequality for the special affine Fourier transform. In addition, we derive a Heisenberg-type uncertainty principle for the special affine wavelet transform. Finally, we extend the scope of the present study by introducing the notion of composition of special affine wavelet transforms.

Topics & Concepts

MathematicsAffine transformationConvolution (computer science)Harmonic wavelet transformFourier inversion theoremFourier transformFractional Fourier transformWaveletWavelet transformMathematical analysisPure mathematicsAlgebra over a fieldDiscrete wavelet transformFourier analysisComputer scienceArtificial intelligenceArtificial neural networkMathematical Analysis and Transform MethodsImage and Signal Denoising MethodsDigital Filter Design and Implementation
A convolution-based special affine wavelet transform | Litcius