LEADER 04266nam 22006375 450 001 9910299901603321 005 20200706010332.0 010 $a3-319-61373-1 024 7 $a10.1007/978-3-319-61373-4 035 $a(CKB)4340000000062783 035 $a(DE-He213)978-3-319-61373-4 035 $a(MiAaPQ)EBC4915508 035 $a(PPN)203671767 035 $a(EXLCZ)994340000000062783 100 $a20170714d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdapted Compressed Sensing for Effective Hardware Implementations $eA Design Flow for Signal-Level Optimization of Compressed Sensing Stages /$fby Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIV, 319 p. 180 illus., 142 illus. in color.) 311 $a3-319-61372-3 320 $aIncludes bibliographical references at the end of each chapters. 327 $aChapter 1. Introduction to Compressed Sensing: Fundamentals and Guarantees -- Chapter 2.How (Well) Compressed Sensing Works in Practice -- Chapter 3. From Universal to Adapted Acquisition: Rake that Signal! -- Chapter 4.The Rakeness Problem with Implementation and Complexity Constraints -- Chapter 5.Generating Raking Matrices: a Fascinating Second-Order Problem -- Chapter 6.Architectures for Compressed Sensing -- Chapter 7.Analog-to-information Conversion -- Chapter 8.Low-complexity Biosignal Compression using Compressed Sensing -- Chapter 9.Security at the analog-to-information interface using Compressed Sensing. 330 $aThis book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional ?portrait?. The authors describe a design flow and some low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target signals can be the key to consistent resource saving. The basic principle of the devised design flow can be applied to almost any CS-based sensing system, including analog-to-information converters, and has been proven to fit an extremely diverse set of applications. Many practical aspects required to put a CS-based sensing system to work are also addressed, including saturation, quantization, and leakage phenomena. 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 $aMangia$b Mauro$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062650 702 $aPareschi$b Fabio$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aCambareri$b Valerio$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aRovatti$b Riccardo$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSetti$b Gianluca$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299901603321 996 $aAdapted Compressed Sensing for Effective Hardware Implementations$92527395 997 $aUNINA LEADER 01778nam0 22003493i 450 001 VAN00018018 005 20250124091123.132 010 $a18-8401-534-4 100 $a20040617d1997 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 181 $ai$b e 182 $an 200 1 $aˆThe ‰Handbook of Trace Elements$fIstvan Pais, J. Benton Jones 210 $aBoca Raton$cSt. Lucie$d1997 215 $aXV, 223 p.$d24 cm 620 $aUS$dBoca Raton$3VANL000070 676 $a631.46$cBiologia del suolo$v22 700 1$aPais$bIstvan$3VANV013974$0729549 701 1$aJones$bBenton J.$3VANV013975$0729548 712 $aSt. Lucie $3VANV108364$4650 790 1$aJones, B. J.$zJones, Benton J.$3VANV065138 790 1$aJones, B.J.$zJones, Benton J.$3VANV065139 801 $aIT$bSOL$c20250131$gRICA 912 $aVAN00018018 950 $aBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE$d17CONS Md12 $e17FSA1509 20040617 $sBuono 950 $aBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE$d17PREST Md13 $e17FSA1508 20040617 $sBuono 950 $aBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE$d17PREST Md30 $e17BIB1408 20120717 $sBuono 950 $aBIBLIOTECA DEL DIPARTIMENTO DI SCIENZE E TECNOLOGIE AMBIENTALI BIOLOGICHE E FARMACEUTICHE$d17PREST Md32 $e17BIB1419 20091028 $sBuono 996 $aHandbook of trace elements$91428924 997 $aUNICAMPANIA