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Titel:

Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
A. J. Ordóñez-Conejo; A. Lederer; S. Hirche
Seitenangaben Beitrag:
2234-2240
Abstract:
When signals are measured through physical sensors, they are perturbed by noise. To reduce noise, low-pass filters are commonly employed in order to attenuate high frequency components in the incoming signal, regardless if they come from noise or the actual signal. Therefore, low-pass filters must be carefully tuned in order to avoid significant deterioration of the signal. This tuning requires prior knowledge about the signal, which is often not available in real-world applications. In order to...     »
Stichworte:
data_driven_control; coman
Kongress- / Buchtitel:
Proceedings of the European Control Conference
Jahr:
2022
Jahr / Monat:
2022-07
Monat:
Jul
Volltext / DOI:
doi:10.23919/ECC55457.2022.9838285
Copyright Informationen:
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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