Abstract
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.
Funder
Royal Society of New Zealand Te Apārangi
UK Research and Innovation
Hellenic Foundation for Research and Innovation
Institute of Electrical and Electronics Engineers
National Natural Science Foundation of China
H2020 European Research Council
Vetenskapsrådet
Lund University Medical Faculty Foundation
Narodowe Centrum Nauki
Austrian Science Fund
Subject
Applied Mathematics,Instrumentation,Engineering (miscellaneous)
Cited by
11 articles.
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