1999
DOI: 10.1109/22.795070
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Extrapolation of electromagnetic responses from conducting objects in time and frequency domains

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Cited by 25 publications
(18 citation statements)
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“…A frequency-domain CEM method is used to compute which contains the first frequency points of . The data vectors , and can be explicitly written as (2) where and . The goal of the extrapolation is to use early-time and low-frequency data, and , to determine representations of the complete response, and , which accurately approximate late-time and high-frequency data, and .…”
Section: Overview Of Polynomial Extrapolationmentioning
confidence: 99%
“…A frequency-domain CEM method is used to compute which contains the first frequency points of . The data vectors , and can be explicitly written as (2) where and . The goal of the extrapolation is to use early-time and low-frequency data, and , to determine representations of the complete response, and , which accurately approximate late-time and high-frequency data, and .…”
Section: Overview Of Polynomial Extrapolationmentioning
confidence: 99%
“…Recently, the simultaneous extrapolation technique in the time and frequency domains has been proposed to obtain the late-time and broad-band information [13,14]. The MoM approach can efficiently generate low frequency data, while the MOT algorithm can be used to obtain stable early time response quickly.…”
mentioning
confidence: 99%
“…One of them has been used before [13,14], that is, the associate Hermite (AH) polynomial. Here, another kind of Hermite polynomial is introduced, namely, modified Hermite (MH) polynomial [16,17].…”
mentioning
confidence: 99%
“…To overcome high computational demand to generate highfrequency data for MOM and to avoid late-time oscillations for a MOT method, the hybrid TD (time domain) and FD (frequency domain) method has been proposed to interpolate and extrapolate both domain data simultaneously using only early-time and low-frequency data [1][2][3][4][5][6]. The MOM approach can efficiently generate low-frequency data, while the MOT algorithm can be used to obtain stable early-time data quickly.…”
Section: Introductionmentioning
confidence: 99%