Sampled-Data Filters with Compactly Supported Acquisition Prefilters

Yutaka Yamamoto, Kaoru Yamamoto, Masaaki Nagahara

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

抄録

This paper studies the problem of reconstructing continuous-time signals from discrete-time uniformly sampled data. This signal reconstruction problem has been studied by the authors in various contexts, and led to a new signal processing paradigm. The key idea there is to employ a physically realizable signal generator model, and design an (sub)optimal filter via H^ infty(mathbb C- +) optimal sampled-data control theory. The present paper aims at extending this framework to a more general setting where observed data are acquired through an acquisition device (prefilter) that has compact support. In this way, the framework can capture the properties of processing signals with a localized acquisition filter. We give a general setup as well as approximate solution methods along with their convergence results. A simulation is presented to illustrate some properties of the result.

本文言語英語
ホスト出版物のタイトル2018 IEEE Conference on Decision and Control, CDC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ6650-6655
ページ数6
ISBN(電子版)9781538613955
DOI
出版ステータス出版済み - 7月 2 2018
イベント57th IEEE Conference on Decision and Control, CDC 2018 - Miami, 米国
継続期間: 12月 17 201812月 19 2018

出版物シリーズ

名前Proceedings of the IEEE Conference on Decision and Control
2018-December
ISSN(印刷版)0743-1546
ISSN(電子版)2576-2370

会議

会議57th IEEE Conference on Decision and Control, CDC 2018
国/地域米国
CityMiami
Period12/17/1812/19/18

!!!All Science Journal Classification (ASJC) codes

  • 制御およびシステム工学
  • モデリングとシミュレーション
  • 制御と最適化

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