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010   $a3-319-68075-7
024 7 $a10.1007/978-3-319-68075-0
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035   $a(DE-He213)978-3-319-68075-0
035   $a(MiAaPQ)EBC5162984
035   $z(PPN)258872985
035   $a(PPN)221255087
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100   $a20171126d2018      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aFundamentals of Probability and Stochastic Processes with Applications to Communications /$fby Kun Il Park
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (X, 275 p. 69 illus.)
311   $a3-319-68074-9 
320   $aIncludes bibliographical references and index.
327   $aChap1: Introduction -- Chap2: Basic Mathematical Preliminaries -- Chap3: Probability Theory -- Chap4: Random Variables -- Chap5: Characterization of Random Variables -- Chap6: Stochastic Process -- Chap7: Gaussian Distributions -- Chap8: Applications.
330   $aThis book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are essential mathematical disciplines used in communications engineering. The author explains the basic concepts of these topics as plainly as possible so that people with no in-depth knowledge of these mathematical topics can better appreciate their applications in real problems. Applications examples are drawn from various areas of communications. If a reader is interested in understanding probability and stochastic processes that are specifically important for communications networks and systems, this book serves his/her need. Narrows down probability, random variables, stochastic processes to an essential set of topics that communications systems engineers must understand; Presents difficult proofs of theories so that the reader can gain working level understanding of the subject as applied to communications networks and systems; Provides examples that the author encountered through his long experience in both teaching and industry; Provides a comprehensive review of the elements of complex variables, linear algebra and set theory -- pre-requisites for understanding the main topics of the book.
606   $aElectrical engineering
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aComputer mathematics
606   $aProbabilities
606   $aStatistics 
606   $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
606   $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026
606   $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004
606   $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020
615  0$aElectrical engineering.
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615  0$aComputer mathematics.
615  0$aProbabilities.
615  0$aStatistics .
615 14$aCommunications Engineering, Networks.
615 24$aMathematical and Computational Engineering.
615 24$aComputational Science and Engineering.
615 24$aProbability Theory and Stochastic Processes.
615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
676   $a621.382
700   $aPark$b Kun Il$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060222
906   $aBOOK
912   $a9910299896003321
996   $aFundamentals of Probability and Stochastic Processes with Applications to Communications$92511907
997   $aUNINA