01156nam--2200373---450-99000155907020331620050721143253.0000155907USA01000155907(ALEPH)000155907USA0100015590720040413d1980----km-y0itay0103----baengUKa|||||||001yyFamilies in former timeskingship, household and sexualityby Jean-Louis Flandrintranslated by Richard SouthernCambridgeCambridge University Press1980XI, 265 p.ill.23 cmThemes in the Social Sciences2001Themes in the Social Sciences2001001-------2001301.42FLANSRIN,Jean-Louis560439SOUTHERN,RichardITsalbcISBD990001559070203316II.5. 4119(XV B coll. 376/1)92651 L.M.XV BBKUMASIAV11020040413USA011156COPAT69020050721USA011432Families in former times941146UNISA01534nam 2200409Ka 450 991069676440332120080710103944.0(CKB)5470000002381226(OCoLC)233636854(EXLCZ)99547000000238122620080710d2007 ua 0engtxtrdacontentcrdamediacrrdacarrierDetermination of the [delta](¹⁵N/¹⁴N) of total nitrogen in solids, RSIL lab code 2893[electronic resource] /by Kinga Révész and Haiping QiRev. July 2007.Reston, Va. :U.S. Dept. of the Interior, U.S. Geological Survey,[2007]viii, 31 pages digital, PDF fileTechniques and methods ;10-C11Title from title screen (viewed on July 10, 2008)."Chapter 11 of book 10, Methods of the Reston Stable Isotope Laboratory, Section C, Stable isotope-ratio methods, edited by Kinga Révész and Tyler B. Coplen."Determination of the [delta]NitrogenIsotopesAnalysisSolidsAnalysisNitrogenIsotopesAnalysis.SolidsAnalysis.Revesz Kinga M1386633Qi Haiping1386634Coplen Tyler B1386635Geological Survey (U.S.)GPOGPOBOOK9910696764403321Determination of the (¹⁵N3509921UNINA03785nam 22005175 450 991033764750332120200704025359.03-030-00290-X10.1007/978-3-030-00290-9(CKB)5120000000121536(MiAaPQ)EBC5560025(DE-He213)978-3-030-00290-9(PPN)23146245X(EXLCZ)99512000000012153620181019d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData-Driven Wireless Networks A Compressive Spectrum Approach /by Yue Gao, Zhijin Qin1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (104 pages)SpringerBriefs in Electrical and Computer Engineering,2191-81123-030-00289-6 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. 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.SpringerBriefs in Electrical and Computer Engineering,2191-8112Wireless communication systemsMobile communication systemsElectrical engineeringWireless and Mobile Communicationhttps://scigraph.springernature.com/ontologies/product-market-codes/T24100Communications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Wireless communication systems.Mobile communication systems.Electrical engineering.Wireless and Mobile Communication.Communications Engineering, Networks.621.384560285625006.25Gao Yueauthttp://id.loc.gov/vocabulary/relators/aut994999Qin Zhijinauthttp://id.loc.gov/vocabulary/relators/autBOOK9910337647503321Data-Driven Wireless Networks2296060UNINA