LEADER 04549nam 22005895 450 001 9910337472103321 005 20200629225638.0 010 $a3-030-00312-4 024 7 $a10.1007/978-3-030-00312-8 035 $a(CKB)4100000007335131 035 $a(MiAaPQ)EBC5627346 035 $a(DE-He213)978-3-030-00312-8 035 $a(PPN)232964548 035 $a(EXLCZ)994100000007335131 100 $a20181231d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProbabilistic Methods and Distributed Information $eRudolf Ahlswede?s Lectures on Information Theory 5 /$fby Rudolf Ahlswede ; edited by Alexander Ahlswede, Ingo Althöfer, Christian Deppe, Ulrich Tamm 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (581 pages) 225 1 $aFoundations in Signal Processing, Communications and Networking,$x1863-8538 ;$v15 311 $a3-030-00310-8 327 $aWords and Introduction of the Editors -- Preface -- Arbitrarily Varying Channels -- Continuous Data Compression -- Distributed Information -- Statistical Inference under Communication Constraints -- Appendix -- Remembering Rudolf Ahlswede -- Comments by Ulrich Krengel -- Subject Index -- Name Index. 330 $aThe fifth volume of Rudolf Ahlswede?s lectures on Information Theory focuses on several problems that were at the heart of a lot of his research. One of the highlights of the entire lecture note series is surely Part I of this volume on arbitrarily varying channels (AVC), a subject in which Ahlswede was probably the world's leading expert. Appended to Part I is a survey by Holger Boche and Ahmed Mansour on recent results concerning AVC and arbitrarily varying wiretap channels (AVWC). After a short Part II on continuous data compression, Part III, the longest part of the book, is devoted to distributed information. This Part includes discussions on a variety of related topics; among them let us emphasize two which are famously associated with Ahlswede: "multiple descriptions", on which he produced some of the best research worldwide, and "network coding", which had Ahlswede among the authors of its pioneering paper. The final Part IV on "Statistical Inference under Communication constraints" is mainly based on Ahlswede?s joint paper with Imre Csiszar, which received the Best Paper Award of the IEEE Information Theory Society. The lectures presented in this work, which consists of 10 volumes, are suitable for graduate students in Mathematics, and also for those working in Theoretical Computer Science, Physics, and Electrical Engineering with a background in basic Mathematics. The lectures can be used either as the basis for courses or to supplement them in many ways. Ph.D. students will also find research problems, often with conjectures, that offer potential subjects for a thesis. More advanced researchers may find questions which form the basis of entire research programs. 410 0$aFoundations in Signal Processing, Communications and Networking,$x1863-8538 ;$v15 606 $aInformation theory 606 $aElectrical engineering 606 $aCoding theory 606 $aInformation and Communication, Circuits$3https://scigraph.springernature.com/ontologies/product-market-codes/M13038 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aCoding and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15041 615 0$aInformation theory. 615 0$aElectrical engineering. 615 0$aCoding theory. 615 14$aInformation and Communication, Circuits. 615 24$aCommunications Engineering, Networks. 615 24$aCoding and Information Theory. 676 $a003.54 676 $a003.54 700 $aAhlswede$b Rudolf$4aut$4http://id.loc.gov/vocabulary/relators/aut$0313411 702 $aAhlswede$b Alexander$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAlthöfer$b Ingo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDeppe$b Christian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTamm$b Ulrich$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910337472103321 996 $aProbabilistic Methods and Distributed Information$92162339 997 $aUNINA