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Roadmap on Signal Processing for Next Generation Measurement Systems

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arxiv 2111.02493 v3 pith:BLV2RRH7 submitted 2021-11-03 eess.SP cs.AIcs.CVphysics.ins-det

Roadmap on Signal Processing for Next Generation Measurement Systems

classification eess.SP cs.AIcs.CVphysics.ins-det
keywords researchprocessingsignalapplicationsfuturegenerationmeasurementnext
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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