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Handbook on Array Processing and Sensor Networks (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)书籍详细信息

ISBN：9780470371763
作者：S.赫金 (Simon Haykin) / K. J. Ray Liu; Wade Trappe; Jane Z. Wang; Min Wu; Hong Zhao
出版社：Wiley-IEEE Press
出版时间：2010-01-12
页数：904
价格：USD 185.00
纸张：暂无纸张
装帧：Hardcover
开本：暂无开本
语言：暂无语言
适合人群：Engineers in Electrical Engineering, Computer Science, Signal Processing, Communication Engineering, Robotics, Network Security, Data Science, and researchers interested in the intersection of these fields.
TAG：data analysis / Machine Learning / Network Security / Signal Processing / Communication Systems / Control Theory / sensor networks / Distributed Algorithms / Array Processing / Signal Filtering
豆瓣评分：暂无豆瓣评分
更新时间：2025-05-19 19:05:59

内容简介：

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.

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