8/30/2023 0 Comments Signal processing engineer![]() ![]() Signal processing methods have been devised to transform the signals so that different application needs are met. Signal quality is affected by different factors, such as the characteristics of the sensors used for their acquisition, and non-deterministic phenomena related to the data acquisition environment. Multisource temporal data series, two or higher dimensional data structures, such as images and video, can be regarded as signals. The applications of signal processing are numerous, extending well-beyond the domain of communications. Since then, especially after the revolution of digital technology of the sixties, signal processing has become an integral part of almost any sensor-enabled system. In that decade, masterpiece papers were published, mainly in the context of communications, with a monumental work to be that of Claude Shannon's 'A mathematical theory of communications.' That period signified the progress of signal processing also in the context of other fields, including radio detection and ranging (radar) technology, which flourished upon the needs of military applications during World War II. In the history of science, the establishment of signal processing as a discrete field of science is placed in 1940s. Furthermore, it offers guidance to researchers and funding agencies in identifying new prospects. ![]() 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. 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. The recent advances in artificial intelligence and machine learning are shifting the research attention towards intelligent, data-driven, signal processing. Time series data, images, and video sequences comprise representative forms of signals that can be enhanced and analysed for information extraction and quantification. Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Shanghai Jiao Tong University, Shanghai, People's Republic of ChinaĬase Western Reserve University, Cleveland, OH, United States of America Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyĬastolin Eutectic-Monitor Coatings Ltd, Newcastle, United Kingdom Pennsylvania State University, University Park, PA, United States of America Wuhan University, Wuhan, People's Republic of China University of Warmia and Mazury in Olsztyn, Olsztyn, Poland University of Salzburg, Salzburg, Austria Tianjin University, Tianjin, People's Republic of China ![]() Lund University, Skane University Hospital, Lund, SwedenĪristotle University of Thessaloniki, Thessaloniki, Greece Institute of Neural Engineering, Graz University of Technology, Graz, Austria Universidad Carlos III de Madrid, Leganés, Spain University of Oxford, Oxford, United Kingdomĭelft University of Technology, Delft, The Netherlands South Ural State University, Chelyabinsk, RussiaĬoventry University, Coventry, United Kingdom Sunway University, Bandar Sunway, Malaysia University of Waikato, Hamilton, New Zealand Published by IOP Publishing LtdĬitation Dimitris K Iakovidis et al 2022 Meas. The following article is Open access Roadmap on signal processing for next generation measurement systemsĭimitris K Iakovidis 25,1, Melanie Ooi 2, Ye Chow Kuang 2, Serge Demidenko 2,24, Alexandr Shestakov 3, Vladimir Sinitsin 3, Manus Henry 3,5,6, Andrea Sciacchitano 7, Stefano Discetti 8, Silvano Donati 9, Michele Norgia 10, Andreas Menychtas 11, Ilias Maglogiannis 11, Selina C Wriessnegger 12, Luis Alberto Barradas Chacon 12, George Dimas 1, Dimitris Filos 13,14, Anthony H Aletras 13,14, Johannes Töger 13, Feng Dong 15, Shangjie Ren 15, Andreas Uhl 16, Jacek Paziewski 17, Jianghui Geng 18, Francesco Fioranelli 7, Ram M Narayanan 19, Carlos Fernandez 20, Christoph Stiller 20, Konstantina Malamousi 1, Spyros Kamnis 21, Konstantinos Delibasis 1, Dong Wang 22, Jianjing Zhang 23 and Robert X Gao 23 ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |