TY - JOUR
T1 - Roadmap on signal processing for next generation measurement systems
AU - Iakovidis, Dimitris K
AU - Ooi, Melanie
AU - Kuang, Ye Chow
AU - Demidenko, Serge
AU - Shestakov, Alexandr
AU - Sinitsin, Vladimir
AU - Henry, Manus
AU - Sciacchitano, Andrea
AU - Discetti, Stefano
AU - Donati, Silvano
AU - Norgia, Michele
AU - Menychtas, Andreas
AU - Maglogiannis, Ilias
AU - Wriessnegger, Selina C
AU - Chacon, Luis Alberto Barradas
AU - Dimas, George
AU - Filos, Dimitris
AU - Aletras, Anthony H
AU - Töger, Johannes
AU - Dong, Feng
AU - Ren, Shangjie
AU - Uhl, Andreas
AU - Paziewski, Jacek
AU - Geng, Jianghui
AU - Fioranelli, Francesco
AU - Narayanan, Ram M
AU - Fernandez, Carlos
AU - Stiller, Christoph
AU - Malamousi, Konstantina
AU - Kamnis, Spyros
AU - Delibasis, Konstantinos
AU - Wang, Dong
AU - Zhang, Jianjing
AU - Gao, Robert X
N1 - CC-BY Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
KW - signal processing
KW - measurement systems
KW - optical measurements
KW - machine learning
KW - biomedical applications
KW - environmental applications
KW - industrial applications
UR - https://doi.org/10.1088/1361-6501/ac2dbd
UR - https://www.youtube.com/watch?v=Er0aM-JV1hg
U2 - 10.1088/1361-6501/ac2dbd
DO - 10.1088/1361-6501/ac2dbd
M3 - Article
SN - 0957-0233
VL - 33
JO - Measurement Science and Technology
JF - Measurement Science and Technology
IS - 1
M1 - 012002
ER -