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Open AccessJournal ArticleDOI

Multiscale Discrete Approximations of Fourier Integral Operators Associated with Canonical Transformations and Caustics

TLDR
An algorithm for the computation of general Fourier integral operators associated with canonical graphs is developed based on dyadic parabolic decomposition using wave packets and enables the discrete approximate evaluation of the action of such operators on data in the presence of caustics.
Abstract
We develop an algorithm for the computation of general Fourier integral operators associated with canonical graphs. The algorithm is based on dyadic parabolic decomposition using wave packets and enables the discrete approximate evaluation of the action of such operators on data in the presence of caustics. The procedure consists of constructing a universal operator representation through the introduction of locally singularity-resolving diffeomorphisms, thus enabling the application of wave packet--driven computation, and of constructing the associated pseudodifferential joint-partition of unity on the canonical graphs. We apply the method to a parametrix of the wave equation in the vicinity of a cusp singularity.

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Citations
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Journal ArticleDOI

A unified framework for oscillatory integral transforms: When to use NUFFT or butterfly factorization?

TL;DR: In this article, a unified framework is proposed to compute Kf with O( N log ⁡ N ) time and memory complexity via the non-uniform fast Fourier transform (NUFFT) or the butterfly factorization (BF), together with an O ( N ) fast algorithm to determine whether NUFFT or BF is more suitable.
Journal ArticleDOI

A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators

TL;DR: In this paper, a multiscale butterfly algorithm for computing Fourier integral operators (FIOs) of the form $(\mathcal{L} f)(x) = \int_{\mathbb{R}^d}a(x,\xi) e^{2\pi \imath \Phi(x and\xi))}\widehat{f}(\xi) d\xi), where
Posted Content

Semiclassical sampling and discretization of certain linear inverse problems

TL;DR: A Weyl type of estimate is proved on the minimal number of sampling points to recover $f$ stably in terms of the volume of its semiclassical wave front set.

Oscillatory data analysis and fast algorithms for integral operators

Haizhao Yang
TL;DR: This thesis introduces several novel synchrosqueezed transforms (SSTs) with rigorous mathematical, statistical analysis, and efficient implementation to tackle challenging problems in oscillatory data analysis.
Journal ArticleDOI

Reconstruction of piecewise smooth wave speeds using multiple scattering

TL;DR: In this article, it was shown that the wave imaging problem is solvable in the piecewise smooth setting under mild conditions, and the locations of interfaces in broken geodesic normal coordinates using scattering control.
References
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Journal ArticleDOI

Fast Discrete Curvelet Transforms

TL;DR: This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform in two and three dimensions, based on unequally spaced fast Fourier transforms, while the second is based on the wrapping of specially selected Fourier samples.
Journal ArticleDOI

Prolate spheroidal wave functions, fourier analysis, and uncertainty — V: the discrete case

TL;DR: In this article, the authors investigated the extent to which a time series can be concentrated on a finite index set and also have its spectrum concentrated on subinterval of the fundamental period of the spectrum.
Book

Seismic Ray Theory

TL;DR: In this article, the elastodynamics and its simple solutions of dynamic ray tracing are discussed. But they do not consider the effect of the propagation speed of the ray on the propagation.
Journal ArticleDOI

Fast Fourier transforms for nonequispaced data

TL;DR: In this paper, a group of algorithms is presented generalizing the fast Fourier transform to the case of noninteger frequencies and nonequispaced nodes on the interval $[ - \pi,\pi ].
Journal ArticleDOI

Prolate spheroidal wave functions, Fourier analysis and uncertainty — IV: Extensions to many dimensions; generalized prolate spheroidal functions

TL;DR: In this paper, a generalization of the generalized prolate spheroidal wave functions is presented, and the eigenvalues of both (i) and (ii) are studied in detail.
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