LEADER 03487nam 22007212 450 001 9910464661903321 005 20151019150147.0 010 $a1-107-23547-2 010 $a1-107-33656-2 010 $a1-107-33490-X 010 $a1-139-08849-1 010 $a1-107-33249-4 010 $a1-107-33324-5 010 $a1-107-33573-6 010 $a1-299-70766-1 035 $a(CKB)3460000000128974 035 $a(CaPaEBR)ebrary10718596 035 $a(SSID)ssj0000887161 035 $a(PQKBManifestationID)11499658 035 $a(PQKBTitleCode)TC0000887161 035 $a(PQKBWorkID)10840320 035 $a(PQKB)10436545 035 $a(UkCbUP)CR9781139088497 035 $a(MiAaPQ)EBC1139587 035 $a(Au-PeEL)EBL1139587 035 $a(CaPaEBR)ebr10718596 035 $a(CaONFJC)MIL502017 035 $a(OCoLC)846495046 035 $a(EXLCZ)993460000000128974 100 $a20110519d2013|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCompressive sensing for wireless networks /$fZhu Han, University of Houston, USA, Husheng Li, University of Tennessee, USA, Wotao Yin, Rice University, USA$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2013. 215 $a1 online resource (xiv, 293 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-107-01883-8 311 $a1-107-32680-X 320 $aIncludes bibliographical references and index. 330 $aCompressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view on how to incorporate efficiently the idea of compressive sensing over assorted wireless network scenarios, interweaving concepts from signal processing, optimization, information theory, communications and networking to address the issues in question from an engineering perspective. 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