LEADER 04053nam 22006135 450 001 9910254237603321 005 20200630065632.0 010 $a3-319-32759-3 024 7 $a10.1007/978-3-319-32759-4 035 $a(CKB)3710000000735133 035 $a(DE-He213)978-3-319-32759-4 035 $a(MiAaPQ)EBC4562181 035 $a(PPN)199441782 035 $a(EXLCZ)993710000000735133 100 $a20160621d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aToward 5G Software Defined Radio Receiver Front-Ends /$fby Silvian Spiridon 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XVII, 96 p. 50 illus., 20 illus. in color.) 225 1 $aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 311 $a3-319-32758-5 320 $aIncludes bibliographical references at the end of each chapters. 327 $aOverview of Wireless Communication in the Internet Age -- Defining the optimal architecture -- From High Level Standard Requirements to Circuit Level Electrical Specifications: A Standard Independent Approach -- Optimal Filter Partitioning -- Smart Gain Partitioning for Noise ? Linearity Trade-Off Optimization -- SDRX Electrical Specifications -- A System Level Perspective of Modern Receiver Building Blocks -- Conclusions and Future Developers. 330 $aThis book introduces a new intuitive design methodology for the optimal design path for next-generation software defined radio front-ends (SDRXs). The methodology described empowers designers to "attack" the multi-standard environment in a parallel way rather than serially, providing a critical tool for any design methodology targeting 5G circuits and systems. Throughout the book the SDRX design follows the key wireless standards of the moment (i.e., GSM, WCDMA, LTE, Bluetooth, WLAN), since a receiver compatible with these standards is the most likely candidate for the first design iteration in a 5G deployment. The author explains the fundamental choice the designer has to make regarding the optimal channel selection: how much of the blockers/interferers will be filtered in the analog domain and how much will remain to be filtered in the digital domain. The system-level analysis the author describes entails the direct sampling architecture is treated as a particular case of mixer-based direct conversion architecture. This allows readers give a power consumption budget to determine how much filtering is required on the receive path, by considering the ADC performance characteristics and the corresponding blocker diagram. 410 0$aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 606 $aElectronic circuits 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aElectronics 606 $aMicroelectronics 606 $aCircuits and Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/T24068 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aElectronics and Microelectronics, Instrumentation$3https://scigraph.springernature.com/ontologies/product-market-codes/T24027 615 0$aElectronic circuits. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aElectronics. 615 0$aMicroelectronics. 615 14$aCircuits and Systems. 615 24$aSignal, Image and Speech Processing. 615 24$aElectronics and Microelectronics, Instrumentation. 676 $a621.3815 700 $aSpiridon$b Silvian$4aut$4http://id.loc.gov/vocabulary/relators/aut$0764115 906 $aBOOK 912 $a9910254237603321 996 $aToward 5G Software Defined Radio Receiver Front-Ends$91551074 997 $aUNINA LEADER 03987oam 2200865 c 450 001 9910476910503321 005 20260102090118.0 010 $a9783839454152 010 $a3839454158 024 7 $a10.14361/9783839454152 035 $a(CKB)5400000000002688 035 $a(DE-B1597)563042 035 $a(OCoLC)1233040503 035 $a(DE-B1597)9783839454152 035 $a(Bielefeld University Press)9783839454152 035 $a(MiAaPQ)EBC6956229 035 $a(Au-PeEL)EBL6956229 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/64088 035 $a(MiAaPQ)EBC30481385 035 $a(Au-PeEL)EBL30481385 035 $a(OCoLC)1250420133 035 $a(ScCtBLL)bf8b94e6-a21f-4c1f-a26e-19925042e28c 035 $a(Perlego)1637599 035 $a(oapen)doab64088 035 $a(EXLCZ)995400000000002688 100 $a20260102d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNarratives and Comparisons$eAdversaries or Allies in Understanding Science?$fMartin Carrier, Rebecca Mertens, Carsten Reinhardt 205 $a1st ed. 210 $aBielefeld$cBielefeld University Press$d2021 215 $a1 online resource (206 p.) 225 0 $aBiUP General 311 08$a9783837654158 311 08$a383765415X 320 $aIncludes bibliographical references. 327 $aFrontmatter 1 Contents 5 Introduction 7 Does Narrative Matter? 29 Historical Narrative versus Comparative Description? 63 On the Narrative Order of Experimentation 85 The Flower People of Shanidar 99 Narrating and Comparing in the Organization of Research Projects 123 Seeing, Comparing, Narrating 145 Narrating Art History 175 Authors 203 330 $aAs a powerful tool in the production of knowledge, comparing plays a crucial part in the sciences and the humanities. 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Martin Carrier, Universität Bielefeld, Deutschland

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Rebecca Mertens, Universität Bielefeld, Deutschland

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Carsten Reinhardt, Universität Bielefeld, Deutschland

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