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_aSpringerLink (Online service) _9106996 |
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_c110512 _d110512 _x1 |
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| 001 | 110512 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113424.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 181019s2019 gw a o |||| 0|eng d | ||
| 020 | _a9783030002909 | ||
| 024 | 7 |
_a10.1007/978-3-030-00290-9 _2doi |
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| 040 |
_bspa _dES-MaUEC _cES-MaUEC |
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| 050 | 4 |
_aTK7872.D48 _b2019 EB |
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| 100 | 1 |
_aGao, Yue _eautor _9670244 |
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| 245 | 1 | 0 |
_aData-Driven Wireless Networks : _bA Compressive Spectrum Approach _cYue Gao, Zhijin Qin |
| 264 | 1 |
_aCham _bSpringer International Publishing : _bImprint: Springer _c2019 |
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| 300 |
_a1 recurso en línea (XIX, 93 páginas) _b35 ilustraciones |
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| 336 |
_2rdacontent _aTexto _btxt |
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_2rdamedia _aelectrónico _bc |
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_2rdacarrier _arecurso electrónico _bcr |
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_atext file _bPDF |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 490 | 0 |
_aSpringerBriefs in Electrical and Computer Engineering _x2191-8112 |
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| 520 | 3 | _aThis 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. This SpringerBrief provides readers a clear picture on how to exploit the compressive sensing to process wireless signals in wideband cognitive radio networks. Students, professors, researchers, scientists, practitioners, and engineers working in the fields of compressive sensing in wireless communications will find this SpringerBrief very useful as a short reference or study guide book. Industry managers, and government research agency employees also working in the fields of compressive sensing in wireless communications will find this SpringerBrief useful as well. | |
| 650 | 7 |
_2embne _aRedes de sensores inalámbricas _9441179 |
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| 650 | 7 |
_2embne _aElectrónica _xAparatos e instrumentos |
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| 700 | 1 |
_aQin, Zhijin. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030002893 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030002916 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-00290-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aPrimersemestre_2019_Engineering | ||
| 998 |
_aSI _cm _dz _feng _ggw _h0 _b08/2019 _eel _zSI |
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