Signal processing is an essential aspect of mobile and wireless communications, electronic systems, and biomedical engineering. It includes areas such as speech, audio, image and video processing. Engineers in these fields need to understand, test, develop and apply new signal processing methods and techniques and apply them to potential application areas. This four volume reference, edited and authored by the world's leading experts, gives a review of the principles, methods and techniques of vital and emerging research topics and technologies in signal, speech, acoustic, image and video processing. It solves the needs of university based researchers and R&D engineers in industry for high-level overviews on new 'hot' technologies, including algorithms for testing and using, and applications to demonstrate different methods of implementation. It provides insight and understanding of new technologies: modular overviews with in depth information on developing new methods and techniques, with updated references to key papers, enabling the researcher to keep on top of key developments in the field. It delivers a path through the maze of information: a comprehensive resource with different levels of structured content with references to more advanced and specific information available through journal articles. Benefit: the reader can easily get to grips with a new area and find sources to obtain specific, more advanced information; and brand recognition through the reputation of the editors and authors: each volume is edited by the world's leading people in the field who, because of their reputation, have been able commission the leading experts on a particular technology.
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Sergios Theodoridis is professor emeritus of machine learning and data processing with the National and Kapodistrian University of Athens, Athens, Greece. He has also served as distinguished professor with the Aalborg University Denmark and as professor with the Chinese University of Hong Kong, Shenzhen, China. In 2023, he received an honorary doctorate degree (D.Sc) from the University of Edinburgh, U.K. He has also received a number of prestigious awards, including the 2014 IEEE Signal Processing Magazine Best Paper Award, the 2009 IEEE Computational Intelligence Society Transactions on Neural Networks Outstanding Paper Award, the 2017 European Association for Signal Processing (EURASIP) Athanasios Papoulis Award, the 2014 IEEE Signal Processing Society Carl Friedrich Gauss Education Award, and the 2014 EURASIP Meritorious Service Award. He has served as president of EURASIP and vice president for the IEEE Signal Processing Society. He is a Fellow of EURASIP and a Life Fellow of IEEE. He is the coauthor of the book Pattern Recognition, 4th edition, Academic Press, 2009 and of the book Introduction to Pattern Recognition: A MATLAB Approach, Academic Press, 2010.
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