  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.
