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Efficient adaptive numerical integration algorithms for the evaluation of surface radiation integrals in the high‐frequency regime
Author(s) -
Carluccio Giorgio,
Albani Matteo
Publication year - 2011
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2010rs004623
Subject(s) - sampling (signal processing) , nyquist–shannon sampling theorem , numerical integration , nyquist rate , mathematics , point (geometry) , adaptive sampling , algorithm , surface (topology) , nyquist frequency , radiation , computer science , mathematical optimization , mathematical analysis , physics , optics , telecommunications , geometry , statistics , monte carlo method , bandwidth (computing) , detector
The possibility of reducing the sampling point density in the numerical evaluation of radiation integrals is discussed by resorting to asymptotic high‐frequency technique concepts. It is shown that the numerical evaluation of the radiation integrals becomes computationally more efficient by introducing an adaptive sampling. Using this approach, the number of sampling points is found to be drastically smaller than that resulting from a standard Nyquist sampling rate.