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Uncertainty principles for the quadratic‐phase Fourier transforms

Firdous A. Shah, Kottakkaran Sooppy Nisar, Waseem Z. Lone, Azhar Y. Tantary

2021Mathematical Methods in the Applied Sciences52 citationsDOI

Abstract

The quadratic‐phase Fourier transform (QPFT) is a recent addition to the class of Fourier transforms and embodies a variety of signal processing tools including the Fourier, fractional Fourier, linear canonical, and special affine Fourier transform. In this article, we formulate several classes of uncertainty principles for the QPFT. Firstly, we formulate the Heisenberg's uncertainty principle governing the simultaneous localization of a signal and the corresponding QPFT. Secondly, we obtain some logarithmic and local uncertainty inequalities such as Beckner and Sobolev inequalities for the QPFT. Thirdly, we study several concentration‐based uncertainty principles, including Nazarov's, Amrein–Berthier–Benedicks's, and Donoho–Stark's uncertainty principles. Finally, we conclude the study with the formulation of Hardy's and Beurling's uncertainty principles for the QPFT.

Topics & Concepts

MathematicsFourier transformUncertainty principleFourier inversion theoremLogarithmQuadratic equationAffine transformationFractional Fourier transformPhase correlationFourier analysisApplied mathematicsMathematical analysisPure mathematicsPhysicsQuantumQuantum mechanicsGeometryMathematical Analysis and Transform MethodsMathematical functions and polynomialsImage and Signal Denoising Methods
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