Overview
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.
Full Product Details
Author: Simon Haykin (McMaster University) ,
K. J. Ray Liu (University of Maryland)
Publisher: John Wiley & Sons Inc
Imprint: Wiley-IEEE Press
Dimensions:
Width: 18.50cm
, Height: 4.70cm
, Length: 26.00cm
Weight: 1.710kg
ISBN: 9780470371763
ISBN 10: 0470371765
Pages: 924
Publication Date: 28 January 2010
Audience:
College/higher education
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: Out of stock
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.
Reviews
The book's 28 chapters are written mostly in a tutorial style. Thus, they will particularly benefit students and newcomers to any of the application fields detailed in Parts 2 and 4. (Computing Reviews, June 2010) Haykin and Liu's book is a very useful tool, not only for researchers and experts in the field, but also for graduate students interested in advanced signal processing and networking topics. (Computing Reviews, June 2010)
""The book's 28 chapters are written mostly in a tutorial style. Thus, they will particularly benefit students and newcomers to any of the application fields detailed in Parts 2 and 4."" (Computing Reviews, June 2010) ""Haykin and Liu's book is a very useful tool, not only for researchers and experts in the field, but also for graduate students interested in advanced signal processing and networking topics."" (Computing Reviews, June 2010)
The book's 28 chapters are written mostly in a tutorial style. Thus, they will particularly benefit students and newcomers to any of the application fields detailed in Parts 2 and 4. (Computing Reviews, June 2010) Haykin and Liu's book is a very useful tool, not only for researchers and experts in the field, but also for graduate students interested in advanced signal processing and networking topics. (Computing Reviews, June 2010)
The book's 28 chapters are written mostly in a tutorial style. Thus, they will particularly benefit students and newcomers to any of the application fields detailed in Parts 2 and 4. ( Computing Reviews, June 2010) Haykin and Liu's book is a very useful tool, not only for researchers and experts in the field, but also for graduate students interested in advanced signal processing and networking topics. ( Computing Reviews, June 2010)
Author Information
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.
