Roadmap on signal processing for next generation measurement systems

Iakovidis, Dimitris K and Ooi, Melanie and Kuang, Ye Chow and Demidenko, Serge and Shestakov, Alexandr and Sinitsin, Vladimir and Henry, Manus and Sciacchitano, Andrea and Discetti, Stefano and Donati, Silvano and Norgia, Michele and Menychtas, Andreas and Maglogiannis, Ilias and Wriessnegger, Selina C and Chacon, Luis Alberto Barradas and Dimas, George and Filos, Dimitris and Aletras, Anthony H and Töger, Johannes and Dong, Feng and Ren, Shangjie and Uhl, Andreas and Paziewski, Jacek and Geng, Jianghui and Fioranelli, Francesco and Narayanan, Ram M and Fernandez, Carlos and Stiller, Christoph and Malamousi, Konstantina and Kamnis, Spyros and Delibasis, Konstantinos and Wang, Dong and Zhang, Jianjing and Gao, Robert X (2022) Roadmap on signal processing for next generation measurement systems. Measurement Science and Technology, 33 (1). 012002. ISSN 0957-0233

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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.

Item Type: Article
Subjects: STM One > Computer Science
Depositing User: Unnamed user with email support@stmone.org
Date Deposited: 20 Jun 2023 11:03
Last Modified: 13 Sep 2025 03:48
URI: http://note.send2pub.com/id/eprint/1424

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