Handbook on Array Processing and Sensor Networks

Simon Haykin

ISBN 10: 0470371765 / ISBN 13: 9780470371763

Published by John Wiley and Sons Ltd, 2010

About this Item

A collection of tutorial articles on recent advancements and state-of-the-art results Provides a comprehensive overview of sensor and array processing. Covers fundamental principles as well as applications. Features some of the most prominent researchers from different centers in North America and Europe. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control. Num Pages: 904 pages, Illustrations. BIC Classification: TJK; UYS. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 263 x 189 x 48. Weight in Grams: 1712. . 2010. 1st Edition. Hardcover. . . . .

Seller Inventory # V9780470371763

Bibliographic Details

• Title: Handbook on Array Processing and Sensor Networks
• Publisher: John Wiley and Sons Ltd
• Publication Date: 2010
• Language: English
• ISBN 10: 0470371765
• ISBN 13: 9780470371763
• Binding: Hardcover
• Edition: 1st Edition
• Condition: New

About this title

Synopsis

A handbook on recent advancements and the state of the art in array processing and sensor Networks

Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks.

Focusing on fundamental principles as well as applications, the handbook provides exhaustive coverage of: wavelets; spatial spectrum estimation; MIMO radio propagation; robustness issues in sensor array processing; wireless communications and sensing in multi-path environments using multi-antenna transceivers; implicit training and array processing for digital communications systems; unitary design of radar waveform diversity sets; acoustic array processing for speech enhancement; acoustic beamforming for hearing aid applications; undetermined blind source separation using acoustic arrays; array processing in astronomy; digital 3D/4D ultrasound imaging technology; self-localization of sensor networks; multi-target tracking and classification in collaborative sensor networks via sequential Monte Carlo; energy-efficient decentralized estimation; sensor data fusion with application to multi-target tracking; distributed algorithms in sensor networks; cooperative communications; distributed source coding; network coding for sensor networks; information-theoretic studies of wireless networks; distributed adaptive learning mechanisms; routing for statistical inference in sensor networks; spectrum estimation in cognitive radios; nonparametric techniques for pedestrian tracking in wireless local area networks; signal processing and networking via the theory of global games; biochemical transport modeling, estimation, and detection in realistic environments; and security and privacy for sensor networks.

Handbook on Array Processing and Sensor Networks is the first book of its kind and will appeal to researchers, professors, and graduate students in array processing, sensor networks, advanced signal processing, and networking.

About the Author

Simon Haykin, PhD, is a Distinguished University Professor at McMaster University, Hamilton, Ontario. K. J. Ray Liu is a Distinguished Scholar-Teacher at the University of Maryland, College Park. He is the recipient of numerous honors and awards including best paper awards from IEEE Signal Processing Society, IEEE Vehicular Technology Society, and EURASIP, as well as recognition from the University of Maryland, including Invention of the Year Award, Poole and Kent Senior Faculty Teaching Award, and Outstanding Faculty Research Award. Dr. Liu is a Fellow of the IEEE and AAAS.