000 03820nam a22005175i 4500
001 978-3-030-22297-0
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005 20220801215045.0
007 cr nn 008mamaa
008 190914s2020 sz | s |||| 0|eng d
020 _a9783030222970
_9978-3-030-22297-0
024 7 _a10.1007/978-3-030-22297-0
_2doi
050 4 _aTK7867-7867.5
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
072 7 _aTJFC
_2thema
082 0 4 _a621.3815
_223
100 1 _aLevy, Bernard C.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942082
245 1 0 _aRandom Processes with Applications to Circuits and Communications
_h[electronic resource] /
_cby Bernard C. Levy.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIII, 464 p. 112 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aElectronic circuits.
_919581
650 0 _aSignal processing.
_94052
650 0 _aTelecommunication.
_910437
650 1 4 _aElectronic Circuits and Systems.
_942083
650 2 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aCommunications Engineering, Networks.
_931570
710 2 _aSpringerLink (Online service)
_942084
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030222963
776 0 8 _iPrinted edition:
_z9783030222987
776 0 8 _iPrinted edition:
_z9783030222994
856 4 0 _uhttps://doi.org/10.1007/978-3-030-22297-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77062
_d77062