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" Data-driven wireless networks : "
Yue Gao, Zhijin Qin.
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BL
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| Record Number
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859140
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| Main Entry
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Gao, Yue
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| Title & Author
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Data-driven wireless networks : : a compressive spectrum approach /\ Yue Gao, Zhijin Qin.
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| Publication Statement
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London :: Springer,, [2019]
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| Series Statement
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SpringerBriefs in electrical and computer engineering
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1 online resource
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| ISBN
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303000290X
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: 9783030002909
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3030002896
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9783030002893
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| Contents
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Part I : Background -- Introduction -- Sparse representation in wireless networks -- Part II : Compressive spectrum sensing algorithms -- Data-driven compressive spectrum sensing -- Robust compressive spectrum sensing -- Secure compressive spectrum sensing -- Part III : Conclusions -- Conclusions and future work.
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| Abstract
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This SpringerBrief discusses the applications of spare representation in wireless communications, with a particular focus on the most recent developed compressive sensing (CS) enabled approaches. With the help of sparsity property, sub-Nyquist sampling can be achieved in wideband cognitive radio networks by adopting compressive sensing, which is illustrated in this brief, and it starts with a comprehensive overview of compressive sensing principles. Subsequently, the authors present a complete framework for data-driven compressive spectrum sensing in cognitive radio networks, which guarantees robustness, low-complexity, and security. Particularly, robust compressive spectrum sensing, low-complexity compressive spectrum sensing, and secure compressive sensing based malicious user detection are proposed to address the various issues in wideband cognitive radio networks. Correspondingly, the real-world signals and data collected by experiments carried out during TV white space pilot trial enables data-driven compressive spectrum sensing. The collected data are analysed and used to verify our designs and provide significant insights on the potential of applying compressive sensing to wideband spectrum sensing.
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| Subject
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Internet of things.
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Wireless sensor networks.
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Communications engineering-- telecommunications.
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COMPUTERS-- General.
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Internet of things.
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WAP (wireless) technology.
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Wireless sensor networks.
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| Dewey Classification
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006.2/5
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| LC Classification
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TK7872.D48G36 2019eb
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| Added Entry
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Qin, Zhijin
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