1999
DOI: 10.1002/(sici)1098-2760(19990605)21:5<343::aid-mop11>3.0.co;2-o
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Local transparent boundary condition applied to the modeling of tropospheric ducting propagation

Abstract: An efficient numerical scheme to simulate tropospheric ducting propagation (TDP) is presented in this paper. This scheme solves the parabolic equation (PE) approximation in conjunction with the finite‐element method (FEM) and the local transparent boundary condition (LTBC). It is shown that a simple LTBC can be effectively used to account for the radiation in TDP, instead of the recently published nonlocal transparent boundary condition (NTBC), which is much more complex and consumes more computer time. ©1999 … Show more

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Cited by 9 publications

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“…So far, the three commonly used algorithms of PE are SSFT, the finite-difference method (FDM) [5], and the finite-element method (FEM) [6], among which SSFT is an analytical method, while FDM and FEM are numerical methods. In terms of the problem of propagation in the troposphere under large-scene, long-distance, and low-elevation angle conditions, SSFT has many advantages over FDM and FEM, such as good in stability, small in error, and high in efficiency.…”
Section: Introductionmentioning
confidence: 99%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
“…So far, the three commonly used algorithms of PE are SSFT, the finite-difference method (FDM) [5], and the finite-element method (FEM) [6], among which SSFT is an analytical method, while FDM and FEM are numerical methods. In terms of the problem of propagation in the troposphere under large-scene, long-distance, and low-elevation angle conditions, SSFT has many advantages over FDM and FEM, such as good in stability, small in error, and high in efficiency.…”
Section: Introductionmentioning
confidence: 99%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.