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  1. B. 理工学域; 数物科学類・物質化学類・機械工学類・フロンティア工学類・電子情報通信学類・地球社会基盤学類・生命理工学類
  2. b 10. 学術雑誌掲載論文
  3. 1.査読済論文(工)

A band-limited signal extrapolation algorithm using waveform synthesis digital filter

http://hdl.handle.net/2297/11904
http://hdl.handle.net/2297/11904
c78b4c64-e267-41c5-a076-aac933259950
名前 / ファイル ライセンス アクション
TE-PR-NAKAYAMA-K-234.pdf TE-PR-NAKAYAMA-K-234.pdf (523.7 kB)
Item type 会議発表論文 / Conference Paper(1)
公開日 2017-10-03
タイトル
タイトル A band-limited signal extrapolation algorithm using waveform synthesis digital filter
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
著者 Chen, Y.

× Chen, Y.

WEKO 10989

Chen, Y.

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Nakayama, Kenji

× Nakayama, Kenji

WEKO 353
e-Rad 00207945
研究者番号 00207945

Nakayama, Kenji

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書誌情報 Proceedings of the GLOBECOM'87, Tokyo

p. 234-238, 発行日 1987-11-01
出版者
出版者 IEEE / Ohmsha Ltd
抄録
内容記述タイプ Abstract
内容記述 An extrapolation algorithm for discrete bandlimited signals is proposed. The bandlimited condition is satisfied by using an ideal bandlimited signal as an excited signal. A waveform synthesis digital filter is used to extrapolate fractionally observed data, using the bandlimited excited signal. Therefore, the proposed method reduces the extrapolation problem to a digital filter estimation problem. Digital filter coefficients are obtained by solving linear equations, which are formulated to minimize the mean-square error between a part of the extrapolated signal and the fractionally observed data. The modified Gram-Schmidt (MGS) procedure is applied to finding the least-square solution of the filter coefficients, due to its superior numerical stability. The recursive version of the MGS procedure is suited to real-time hardware implementation. The proposed algorithm is shown to have good performance in extrapolating the fractional data, observed in a single as well as multiple time windows. This concept is applicable not only to the signal extrapolation but also to the spectral estimation.
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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