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Roadmap on signal processing for next generation measurement systems

Iakovidis, D. K.; Ooi, M.; Kuang, Y. C.; Demidenko, S.; Shestakov, A.; Sinitsin, V.; Henry, M.; Sciacchitano, A.; Discetti, S.; Donati, S.; Norgia, M.; Menychtas, A.; Maglogiannis, I.; Wriessnegger, S. C.; Chacon, L. A. B.; Dimas, G.; Filos, D.; Aletras, A. H.; Töger, J.; ... mehr

Abstract:

Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Time series data, images, and video sequences comprise representative forms of signals that can be enhanced and analysed for information extraction and quantification. The recent advances in artificial intelligence and machine learning are shifting the research attention towards intelligent, data-driven, signal processing. This roadmap presents a critical overview of the state-of-the-art methods and applications aiming to highlight future challenges and research opportunities towards next generation measurement systems. It covers a broad spectrum of topics ranging from basic to industrial research, organized in concise thematic sections that reflect the trends and the impacts of current and future developments per research field. Furthermore, it offers guidance to researchers and funding agencies in identifying new prospects.


Verlagsausgabe §
DOI: 10.5445/IR/1000141111
Veröffentlicht am 15.12.2021
Originalveröffentlichung
DOI: 10.1088/1361-6501/ac2dbd
Scopus
Zitationen: 14
Web of Science
Zitationen: 11
Dimensions
Zitationen: 17
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mess- und Regelungstechnik (MRT)
Institut für Mess- und Regelungstechnik mit Maschinenlaboratorium (MRT)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.01.2022
Sprache Englisch
Identifikator ISSN: 0957-0233, 0022-3735, 0368-4253, 0368-4261, 0950-…0-7671, 1361-6501, 1747-387X, 2051-5677, 2051-5685
KITopen-ID: 1000141111
Erschienen in Measurement Science and Technology
Verlag Institute of Physics Publishing Ltd (IOP Publishing Ltd)
Band 33
Heft 1
Seiten Art.-Nr. 012002
Vorab online veröffentlicht am 16.11.2021
Nachgewiesen in Scopus
Dimensions
Web of Science
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