Academic Press Library in Signal Processing: Four Volume Set
Signal Processing Theory and Machine Learning, Communications and Radar Signal Processing, Array and Statistical Signal Processing, Image, Video Processing and Analysis, Hardware, Audio, Acoustic and Speech ProcessingEditor-in-Chief:
- Sergios Theodoridis
- Rama Chellappa
This four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning, advanced signal processing theory, communications and radar signal processing, array and statistical signal processing, Image, Video Processing and Analysis, Hardware, Audio, Acoustic and Speech Processing.
With this reference source you will:
- Quickly grasp a new area of research
- Understand the underlying principles of a topic and its application
- Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved
PhD students, Post Docs, R&D engineers in industry in signal, image, video, speech, acoustic radar, and processing, as well as researchers in wireless and mobile communications
Hardbound, 4940 Pages
Published: October 2013
Imprint: Academic Press
Volume 1: Signal Processing Theory and Machine Learning, Edited by Paulo Sergio Ramirez Diniz (School of Engineering, Rio de Janeiro, Brazil), and Johan Suykens (Katholieke Universiteit Leuven, Brazil)
Volume 2: Communications and Radar Signal Processing, Edited by Abdelhak Zoubir (Technische UniversitÃ¤t Darmstadt, Germany) and Mats Viberg (Chalmers University of Technology, Sweden)
Volume 3: Array and Statistical Signal Processing, Edited by Nikos Sidiropoulos (Technical University of Crete, Greece), and Fulvio Gini (University of Pisa, Italy)
Volume 4: Image, Video and Biomedical Signal Processing, Hardware, Acoustic, Audio and Speech Processing, Edited by Joel Trussell (NC State University, North Carolina, USA), Anuj Srivastava (Florida State University, USA) Amit K. Roy Chowdhury (University of California, USA), Ankur Srivastava (University of Maryland, USA) and Patrick Naylor (Imperial College, London, UK).
A representative selection of contributors from all four volumes based in the US, UK, Europe and APAC:
James B. Davis, Auburn University; Philippe Loubaton, Universite de Marne la Vallee; Sergio Barbarossa, University of Rome, Italy; Georgios Giannakis, University of Minnesota, USA; Simon Godsill, Department of Engineering, University of Cambridge, UK; Ali H. Sayed, University of California, USA; William Melvin, Georgia Institute of Technology, USA; Hugh Griffiths, University College London, UK; Stefan V. Baumgartner, Germany; Andrew Carl Singer, College of Engineering, University of Illinois, USA; Fred Harris, San Diego State University, USA; Oscar Au, Hong Kong University of Science and Technolog, Hong Kong, China; James Nagy, Emory Unoversity, USA; Christos Davatzikos, University of Pennsylvania, USA; Al Bovik, The Universtiy of Texas at Austin,Texas, USA; Tsuhan Chen, University of Ithaca, New York, USA; Marylin Wolf, School of ECE, Georgia Institute of Technology, USA; Sven Nordholm, Curtin University, Australia; Visa Koivunen, Aalto University, Finland.