Linear filter theory for the forward Laplace transform and its use in calculating 1D EM responses

IF 4.4 2区 地球科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Geosciences Pub Date : 2025-04-01 Epub Date: 2025-02-10 DOI:10.1016/j.cageo.2025.105865
Niels Bøie Christensen
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引用次数: 0

Abstract

The linear filter theory has previously been used for designing digital filters that allow Hankel and Fourier transforms to be calculated as discrete convolutions between sampled values of the kernel function and a set of filter coefficients. In this paper the linear filter theory is used to design filters for the forward Laplace transform that permit rapid and accurate calculations. Furthermore, it is shown that it is possible to estimate the computational errors. It is demonstrated that, in several cases, the Laplace transform developed in this paper can be used in the calculation of electromagnetic responses, traditionally calculated using Fast Hankel Transform filters. It is shown that for many instrument configurations, the Laplace transform approach is faster that the Fast Hankel Transform.
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前向拉普拉斯变换的线性滤波理论及其在一维电磁响应计算中的应用
线性滤波器理论以前被用于设计数字滤波器,使汉克尔变换和傅立叶变换可以计算为核函数的采样值和一组滤波器系数之间的离散卷积。本文利用线性滤波理论设计了前向拉普拉斯变换的滤波器,使计算快速准确。此外,还证明了估计计算误差是可能的。结果表明,在某些情况下,本文提出的拉普拉斯变换可以用于电磁响应的计算,而传统的计算方法是使用快速汉克尔变换滤波器。结果表明,对于许多仪器配置,拉普拉斯变换方法比快速汉克尔变换更快。
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来源期刊
Computers & Geosciences
Computers & Geosciences 地学-地球科学综合
CiteScore
9.30
自引率
6.80%
发文量
164
审稿时长
3.4 months
期刊介绍: Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.
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