Signal reconstruction with generalized sampling

Kaoru Yamamoto, Masaaki Nagahara, Yutaka Yamamoto

研究成果: 著書/レポートタイプへの貢献会議での発言

2 引用 (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 crux there is to employ a physically realizable signal generator model, and design an (sub)optimal filter via HTC(C+) optimal sampled-data control theory. The present paper extends this framework to the situation where sampling is more general having a generalized sampling kernel. It is more consistent with a more general framework, for example, wavelet signal expansion, and can lead to a more general applications. We give a general setup along with a solution via fast-sample/fast-hold approximation. A simulation is presented to illustrate the result.

元の言語英語
ホスト出版物のタイトル2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
出版者Institute of Electrical and Electronics Engineers Inc.
ページ6253-6258
ページ数6
ISBN(電子版)9781509028733
DOI
出版物ステータス出版済み - 1 18 2018
イベント56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, オーストラリア
継続期間: 12 12 201712 15 2017

出版物シリーズ

名前2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
2018-January

その他

その他56th IEEE Annual Conference on Decision and Control, CDC 2017
オーストラリア
Melbourne
期間12/12/1712/15/17

Fingerprint

Signal Reconstruction
Signal reconstruction
Sampling
Signal generators
Control theory
Sampled-data Control
Optimal Filter
Signal processing
Control Theory
Signal Processing
Continuous Time
Optimal Control
Discrete-time
Wavelets
Paradigm
Generator
kernel
Approximation
Simulation
Framework

All Science Journal Classification (ASJC) codes

  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Control and Optimization

これを引用

Yamamoto, K., Nagahara, M., & Yamamoto, Y. (2018). Signal reconstruction with generalized sampling. : 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 (pp. 6253-6258). (2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017; 巻数 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2017.8264601

Signal reconstruction with generalized sampling. / Yamamoto, Kaoru; Nagahara, Masaaki; Yamamoto, Yutaka.

2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 6253-6258 (2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017; 巻 2018-January).

研究成果: 著書/レポートタイプへの貢献会議での発言

Yamamoto, K, Nagahara, M & Yamamoto, Y 2018, Signal reconstruction with generalized sampling. : 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, 巻. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 6253-6258, 56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, オーストラリア, 12/12/17. https://doi.org/10.1109/CDC.2017.8264601
Yamamoto K, Nagahara M, Yamamoto Y. Signal reconstruction with generalized sampling. : 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 6253-6258. (2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017). https://doi.org/10.1109/CDC.2017.8264601
Yamamoto, Kaoru ; Nagahara, Masaaki ; Yamamoto, Yutaka. / Signal reconstruction with generalized sampling. 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 6253-6258 (2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017).
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