Iakovidis DKOoi MKuang YCDemidenko SShestakov ASinitsin VHenry MSciacchitano ADiscetti SDonati SNorgia MMenychtas AMaglogiannis IWriessnegger SCChacon LABDimas GFilos DAletras AHTöger JDong FRen SUhl APaziewski JGeng JFioranelli FNarayanan RMFernandez CStiller CMalamousi KKamnis SDelibasis KWang DZhang JGao RX2023-10-152023-10-192021-11-162023-10-152023-10-192022-01-01Iakovidis DK, Ooi M, Kuang YC, Demidenko S, Shestakov A, Sinitsin V, Henry M, Sciacchitano A, Discetti S, Donati S, Norgia M, Menychtas A, Maglogiannis I, Wriessnegger SC, Chacon LAB, Dimas G, Filos D, Aletras AH, Töger J, Dong F, Ren S, Uhl A, Paziewski J, Geng J, Fioranelli F, Narayanan RM, Fernandez C, Stiller C, Malamousi K, Kamnis S, Delibasis K, Wang D, Zhang J, Gao RX. (2022). Roadmap on signal processing for next generation measurement systems. Measurement Science and Technology. 33. 1.0957-0233http://hdl.handle.net/10179/20327Signal 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.(c) The Author/sCC BY 4.0https://creativecommons.org/licenses/by/4.0/signal processingmeasurement systemsoptical measurementsmachine learningbiomedical applicationsenvironmental applicationsindustrial applicationsJournal article10.1088/1361-6501/ac2dbd1361-65012023-10-15Massey_Darkjournal-article