| Title: |
Roadmap on signal processing for next generation measurement systems |
| Authors: |
Iakovidis, Dimitris K; Ooi, Melanie; Kuang, Ye Chow; Demidenko, Serge; Shestakov, Alexandr; Sinitsin, Vladimir; Henry, Manus; Sciacchitano, Andrea; Discetti, Stefano; Donati, Silvano; Norgia, Michele; Menychtas, Andreas; Maglogiannis, Ilias; Wriessnegger, Selina C; Barradas Chacon, Luis Alberto; Dimas, George; Filos, Dimitris; Aletras, Anthony H; Töger, Johannes; Dong, Feng; Ren, Shangjie; Uhl, Andreas; Paziewski, Jacek; Geng, Jianghui; Fioranelli, Francesco; Narayanan, Ram M; Fernandez, Carlos; Stiller, Christoph; Malamousi, Konstantina; Kamnis, Spyros; Delibasis, Konstantinos; Wang, Dong; Zhang, Jianjing; Gao, Robert X |
| Publisher Information: |
IOP Publishing |
| Publication Year: |
2022 |
| Collection: |
Universidad Carlos III de Madrid: e-Archivo |
| Subject Terms: |
Signal processing; Measurement systems; Optical measurements; Machine learning; Biomedical applications; Environmental applications; Industrial applications; Biología y Biomedicina |
| Description: |
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. ; The research work was fully supported by the National Natural Science Foundation of China under Grant No. 51975355. The authors would like to thank five reviewers for their valuable and constructive comments. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| ISSN: |
0957-0233 |
| Relation: |
Iakovidis, D. K. et al. (2021). Roadmap on signal processing for next generation measurement systems. Measurement Science and Technology, 33(1), 012002.; http://hdl.handle.net/10016/33717; https://doi.org/10.1088/1361-6501/ac2dbd; 012002; Measurement Science and Technology; 33; AR/0000028628 |
| DOI: |
10.1088/1361-6501/ac2dbd |
| Availability: |
http://hdl.handle.net/10016/33717; https://doi.org/10.1088/1361-6501/ac2dbd |
| Rights: |
© 2021 The Author(s). Published by IOP Publishing Ltd. ; Atribución 3.0 España ; http://creativecommons.org/licenses/by/3.0/es/ ; open access |
| Accession Number: |
edsbas.8E328C1D |
| Database: |
BASE |