The Gaussian Wave Packet Transform via Quadrature Rules
Paul Bergold, Caroline Lasser

TL;DR
This paper introduces a new Gaussian wave packet transform representation using quadrature rules, notably Gauss-Hermite, reducing basis functions and providing rigorous error analysis with numerical validation.
Contribution
It presents a novel wave packet transform based on quadrature discretization, especially Gauss-Hermite, with a reduced basis and comprehensive error analysis.
Findings
Reduced basis size with Gauss-Hermite quadrature
Rigorous error bounds established
Numerical experiments confirm theoretical results
Abstract
We analyse the Gaussian wave packet transform. Based on the Fourier inversion formula and a partition of unity, which is formed by a collection of Gaussian basis functions, a new representation of square-integrable functions is presented. Including a rigorous error analysis, the variants of the wave packet transform are then derived by a discretisation of the Fourier integral via different quadrature rules. Based on Gauss--Hermite quadrature, we introduce a new representation of Gaussian wave packets in which the number of basis functions is significantly reduced. Numerical experiments in 1D illustrate the theoretical results.
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Taxonomy
TopicsImage and Signal Denoising Methods · Seismic Imaging and Inversion Techniques · Digital Filter Design and Implementation
