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.

翻译：信号处理几乎是任何传感器辅助系统的基本组成部分,在不同科学学科有广泛的应用;时间序列数据、图像和视频序列包括可以加强和分析用于信息提取和量化的具有代表性的信号形式;人工智能和机器学习方面的最新进展正在将研究注意力转向智能、数据驱动和信号处理;这一路线图对最新的最新方法和应用进行了批判性概述,目的是突出下一代测量系统今后的挑战和研究机会;它涵盖从基础研究到工业研究等一系列广泛的专题,按每个研究领域的简明主题章节编排,反映当前和今后发展的趋势和影响;此外,它为研究人员和供资机构确定新前景提供指导。