2020
DOI: 10.1016/j.jcp.2019.109042
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Modeling the long-range wave propagation by a split-step wavelet method

Abstract: A split-step wavelet method for simulating the long-range wave propagation is introduced. It is based on the fast wavelet transform. Compared to the split-step Fourier method, this method improves the computation efficiency while keeping a good accuracy. The propagation is performed iteratively by means of a pre-computed matrix containing the individual propagations of the wavelets. A fast computation method of this matrix is also presented. For the radiowave propagation in the low troposphere, a local image m… Show more

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Cited by 23 publications
(73 citation statements)
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“…In this section the SSW method [3,4] is summarized. SSW is an iterative method to compute the propagation going back and forth from a spatial to a wavelet representation of the wave.…”
Section: Overview Of the Split-step Wavelet Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…In this section the SSW method [3,4] is summarized. SSW is an iterative method to compute the propagation going back and forth from a spatial to a wavelet representation of the wave.…”
Section: Overview Of the Split-step Wavelet Methodsmentioning
confidence: 99%
“…The properties of translation and dilation of wavelets are taken into account for filling P efficiently. The detailed method is given by Zhou et al [3,4] and summarised below.…”
Section: Propagation With a Pre-computed Matrixmentioning
confidence: 99%
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“…In accordance with the forward model, the adjoint model can be derived directly from the one-way wave equation and can be approximated in a second time (e.g., to wide-angle PE (WAPE)). Rapidity of inversion can be further improved by adopting the numerical solution of WAPE for both forward and adjoint models from split-step wavelet (SSW) [7] which outperforms SSF in terms of computational time. Consequent RFC system computes the gradient at the cost of two inexpensive SSW runs only, regardless of the number of parameters to invert.…”
Section: Introductionmentioning
confidence: 99%