000			03554nam a2200421 c 4500
942			_2lcc _cLE
988			_aSpringer_Engineering_2020
999			_c114381 _d114381 _x1
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005			20230110040219.0
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007			cr nn nnnaamaa
008			190914s2020 gw a o |||| 0|eng d
020			_a9783030222970
024	7		_a10.1007/978-3-030-22297-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA274 _b2020 EB
100	1		_aLevy, Bernard C. _eautor _9671604
245	1	0	_aRandom processes with applications to circuits and communications _cby Bernard C. Levy
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XIII, 464 páginas) _b112 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
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	3		_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		7	_2embne _aProcesos estocásticos _9405190
650		7	_2embne _aProbabilidades _9405075
650		7	_2embne _9139610 _aCircuitos electrónicos
776	0	8	_iPrinted edition: _z9783030222963
776	0	8	_iPrinted edition: _z9783030222987
776	0	8	_iPrinted edition: _z9783030222994
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-22297-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI