LEADER 01933oam 2200589 450 001 9910715919903321 005 20210422085310.0 035 $a(CKB)5470000002516899 035 $a(OCoLC)681272456$z(OCoLC)622332203$z(OCoLC)667925621$z(OCoLC)974647618 035 $a(OCoLC)995470000002516899 035 $a(EXLCZ)995470000002516899 100 $a20101113d1993 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aContribution of return flows to streamflow in selected stream reaches in Illinois, 1988-89 /$fby John K. LaTour ; prepared in cooperation with the Illinois Environmental Protection Agency 210 1$aUrbana, Illinois :$cU.S. Geological Survey,$d1993. 215 $a1 online resource (v, 35 pages) $cillustrations, maps 225 1 $aWater-resources investigations report ;$v93-4089 320 $aIncludes bibliographical references (page 35). 606 $aRivers$zIllinois 606 $aStreamflow$zIllinois 606 $aStream measurements$zIllinois 606 $aRivers$2fast 606 $aStream measurements$2fast 606 $aStreamflow$2fast 607 $aIllinois$2fast 615 0$aRivers 615 0$aStreamflow 615 0$aStream measurements 615 7$aRivers. 615 7$aStream measurements. 615 7$aStreamflow. 700 $aLaTour$b John K.$01394584 712 02$aGeological Survey (U.S.), 712 02$aIllinois.$bEnvironmental Protection Agency. 801 0$bOCLCE 801 1$bOCLCE 801 2$bOCLCQ 801 2$bOCLCF 801 2$bOCLCO 801 2$bOCLCQ 801 2$bOCLCO 801 2$bCOP 801 2$bOCLCA 801 2$bGPO 906 $aBOOK 912 $a9910715919903321 996 $aContribution of return flows to streamflow in selected stream reaches in Illinois, 1988-89$93512829 997 $aUNINA LEADER 04904nam 22007335 450 001 9910299827203321 005 20200701111845.0 010 $a981-287-390-2 024 7 $a10.1007/978-981-287-390-3 035 $a(CKB)3710000000416949 035 $a(EBL)2095425 035 $a(SSID)ssj0001501169 035 $a(PQKBManifestationID)11918319 035 $a(PQKBTitleCode)TC0001501169 035 $a(PQKBWorkID)11522345 035 $a(PQKB)11342389 035 $a(DE-He213)978-981-287-390-3 035 $a(MiAaPQ)EBC2095425 035 $a(PPN)186027451 035 $a(EXLCZ)993710000000416949 100 $a20150529d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCompressed Sensing for Distributed Systems /$fby Giulio Coluccia, Chiara Ravazzi, Enrico Magli 205 $a1st ed. 2015. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2015. 215 $a1 online resource (104 p.) 225 1 $aSpringerBriefs in Signal Processing,$x2196-4076 300 $aDescription based upon print version of record. 311 $a981-287-389-9 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Distributed Compressed Sensing -- Rate?Distortion Theory of Distributed Compressed Sensing -- Centralized Joint Recovery -- Distributed Recovery -- Conclusions. 330 $aThis book presents a survey of the state-of-the art in the exciting and timely topic of compressed sensing for distributed systems. It has to be noted that, while compressed sensing has been studied for some time now, its distributed applications are relatively new. Remarkably, such applications are ideally suited to exploit all the benefits that compressed sensing can provide. The objective of this book is to provide the reader with a comprehensive survey of this topic, from the basic concepts to different classes of centralized and distributed reconstruction algorithms, as well as a comparison of these techniques. This book collects different contributions on these aspects. It presents the underlying theory in a complete and unified way for the first time, presenting various signal models and their use cases. It contains a theoretical part collecting latest results in rate-distortion analysis of distributed compressed sensing, as well as practical implementations of algorithms obtaining performance close to the theoretical bounds. It presents and discusses various distributed reconstruction algorithms, summarizing the theoretical reconstruction guarantees and providing a comparative analysis of their performance and complexity. In summary, this book will allow the reader to get started in the field of distributed compressed sensing from theory to practice. We believe that this book can find a broad audience among researchers, scientists, or engineers with very diverse backgrounds, having interests in mathematical optimization, network systems, graph theoretical methods, linear systems, stochastic systems, and randomized algorithms. To help the reader become familiar with the theory and algorithms presented, accompanying software is made available on the authors? web site, implementing several of the algorithms described in the book. The only background required of the reader is a good knowledge of advanced calculus and linear algebra. 410 0$aSpringerBriefs in Signal Processing,$x2196-4076 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aComputer networks 606 $aCalculus of variations 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aComputer networks. 615 0$aCalculus of variations. 615 14$aSignal, Image and Speech Processing. 615 24$aComputer Communication Networks. 615 24$aCalculus of Variations and Optimal Control; Optimization. 676 $a681.2 700 $aColuccia$b Giulio$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720992 702 $aRavazzi$b Chiara$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMagli$b Enrico$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299827203321 996 $aCompressed Sensing for Distributed Systems$92510295 997 $aUNINA