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With signal processing, we want to identify/characterize various physical processes, such as standard engineering variables (e.g. faults on bearings, dynamic properties of structures), as well as biology phenomena (e.g. genome sequencing), astronomy (e.g. measuring a black hole), social sciences (e.g. the spread of the corona virus) and the like. This book edition covers different topics from signal and information processing, including methods for signal processing, signal processing in medicine, image and video signal processing, and signal processing in engineering.

Produktbeschreibung
With signal processing, we want to identify/characterize various physical processes, such as standard engineering variables (e.g. faults on bearings, dynamic properties of structures), as well as biology phenomena (e.g. genome sequencing), astronomy (e.g. measuring a black hole), social sciences (e.g. the spread of the corona virus) and the like. This book edition covers different topics from signal and information processing, including methods for signal processing, signal processing in medicine, image and video signal processing, and signal processing in engineering.
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Autorenporträt
Jovan Pehcevski obtained his PhD in Computer Science from RMIT University in Melbourne, Australia in 2007. His research interests include modern data center technologies (XaaS), big data, machine learning and artificial intelligence, and information retrieval. He has published over 30 journal and conference papers and he also serves as a journal and conference reviewer. Jovan has extensive academic and research experience, coupled with practical expertise in the IT industry. He is currently working as a Senior Technology Consultant at Dell Technologies, covering South Eastern Europe.