2019
DOI: 10.1364/josaa.36.001846
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Pseudo-differential representation of the metaplectic transform and its application to fast algorithms

Abstract: The metaplectic transform (MT) is a unitary integral mapping which is widely used in signal processing and can be viewed as a generalization of the Fourier transform. For a given function ψ on an N -dimensional continuous space q, the MT of ψ is parameterized by a rotation (or more generally, a linear symplectic transformation) of the 2N -dimensional phase space (q, p), where p is the wavevector space dual to q. Here, we derive a pseudo-differential form of the MT. For smallangle rotations, it readily yields a… Show more

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Cited by 15 publications
(28 citation statements)
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“…= ±1. The sign ambiguity in σ is of fundamental importance, as it contributes to the well-known phase shifts that a wavefield acquires upon touching a caustic [38,[54][55][56][57], the π/2 phase shift following reflection being a famous example. Note that when det B = 0, the right-hand side of Eq.…”
Section: Metaplectic Geometrical Optics: Theory a Metaplectic Operators To 'Rotate' Equationsmentioning
confidence: 99%
See 3 more Smart Citations
“…= ±1. The sign ambiguity in σ is of fundamental importance, as it contributes to the well-known phase shifts that a wavefield acquires upon touching a caustic [38,[54][55][56][57], the π/2 phase shift following reflection being a famous example. Note that when det B = 0, the right-hand side of Eq.…”
Section: Metaplectic Geometrical Optics: Theory a Metaplectic Operators To 'Rotate' Equationsmentioning
confidence: 99%
“…( 79) is no longer unitary. A detailed analysis [38] showed that this loss of unitarity results in the unbounded growth of high-wavenumber oscillations, which can be partially mitigated by using low-pass smoothing methods.…”
Section: Fast Near-identity Metaplectic Transformmentioning
confidence: 99%
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“…As part of ongoing work on MGO algorithms [31,32,34,35], here we present a quadrature rule for calculating MGO integrals based on numerical steepest-descent integration [36]. This algorithm emerges naturally from the MGO framework in that MGO integrals always contain saddlepoints that correspond to the ray contributions to the wavefield.…”
Section: Introductionmentioning
confidence: 99%