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作者:Antonio De Maio  出版社:Cambridge Univ Pr  出版日:2019/11/30 裝訂:精裝
Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar.
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作者:Fulvio Gini; Antonio De Maio; Lee K. Patton  出版社:Inst of Engineering & Technology  出版日:2012/04/30 裝訂:精裝
This is the first book to discuss current and future applications of waveform diversity and design in subjects such as radar and sonar, communications systems, passive sensing, and many other technolo
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作者:Alfonso Farina (EDT); Antonio De Maio (EDT); Simon Haykin (EDT)  出版社:Scitech Pub Inc  出版日:2017/11/30 裝訂:精裝
Cognitive dynamic systems are inspired by the computational capability of the brain and the viewpoint that cognition is a supreme form of computation. The key idea behind this new paradigm is to mimic
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作者:Antonio De Maio (EDT); Maria Sabrina Greco (EDT)  出版社:Stylus Pub Llc  出版日:2015/05/01 裝訂:精裝
Modern radar detection is the new frontier for advanced radar systems capable of operating in challenging scenarios with a plurality of interference sources, both manmade and natural. Written by top r
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