LEADER 04261nam 22006495 450 001 9910366577103321 005 20251116220157.0 010 $a9783030222970 010 $a3030222977 024 7 $a10.1007/978-3-030-22297-0 035 $a(CKB)4100000009273689 035 $a(DE-He213)978-3-030-22297-0 035 $a(MiAaPQ)EBC5941692 035 $a(MiAaPQ)EBC31886893 035 $a(Au-PeEL)EBL31886893 035 $a(OCoLC)1124616731 035 $a(EXLCZ)994100000009273689 100 $a20190914d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRandom Processes with Applications to Circuits and Communications /$fby Bernard C. Levy 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XIII, 464 p. 112 illus.) 311 08$a9783030222963 311 08$a3030222969 327 $aIntroduction -- Probability and Random Variables -- Convergence and Limit Theorems -- Specification of Random Processes -- Discrete-Time Finite Markov Chains -- Wiener Process and White Gaussian Noise -- Poisson Process and Shot Noise -- Processing and Frequency Analysis of Random Signals -- Ergodicity -- Scalar Markov Diffusions and Ito Calculus -- Wiener Filtering -- Quantization Noise and Dithering -- Phase Noise in Autonomous Oscillators. 330 $aThis textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal processing, communications, control, and networking, and including in particular circuits, RF and optics graduate students. In order to accommodate today?s circuits students? needs to understand noise modeling, while covering classical material on Brownian motion, Poisson processes, and power spectral densities, the author has inserted discussions of thermal noise, shot noise, quantization noise and oscillator phase noise. At the same time, techniques used to analyze modulated communications and radar signals, such as the baseband representation of bandpass random signals, or the computation of power spectral densities of a wide variety of modulated signals, are presented. This book also emphasizes modeling skills, primarily through the inclusion of long problems at the end of each chapter, where starting from a description of the operation of a system, a model is constructed and then analyzed. Provides semester-length coverage of random processes, applicable to the analysis of electrical and computer engineering systems; Designed to be accessible to students with varying backgrounds in undergraduate mathematics and engineering; Includes solved examples throughout the discussion, as well as extensive problem sets at the end of every chapter; Develops and reinforces student?s modeling skills, with inclusion of modeling problems in every chapter; Solutions for instructors included. 606 $aElectronic circuits 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aElectrical engineering 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 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 615 0$aElectronic circuits. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aElectrical engineering. 615 14$aCircuits and Systems. 615 24$aSignal, Image and Speech Processing. 615 24$aCommunications Engineering, Networks. 676 $a519.2 676 $a621.3815 700 $aLevy$b Bernard C.$4aut$4http://id.loc.gov/vocabulary/relators/aut$0210695 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910366577103321 996 $aRandom Processes with Applications to Circuits and Communications$92507670 997 $aUNINA