東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Random processes with applications t...

Levy, Bernard C.

FindBook

Google Book

Amazon

博客來

Random processes with applications to circuits and communications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Random processes with applications to circuits and communications/ by Bernard C. Levy.
作者:	Levy, Bernard C.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xiii, 464 p. :ill., digital ;24 cm.
內容註:	Introduction -- 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.
Contained By:	Springer eBooks
標題:	Stochastic processes. -
電子資源:	https://doi.org/10.1007/978-3-030-22297-0
ISBN:	9783030222970

Random processes with applications to circuits and communications
Levy, Bernard C.

Random processes with applications to circuits and communications[electronic resource] /by Bernard C. Levy. - Cham :Springer International Publishing :2020. - xiii, 464 p. :ill., digital ;24 cm.

Introduction -- 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.

This 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.

ISBN: 9783030222970

Standard No.: 10.1007/978-3-030-22297-0doiSubjects--Topical Terms:

520663
Stochastic processes.

LC Class. No.: QA274

Dewey Class. No.: 621.3815

Random processes with applications to circuits and communications
LDR:02939nmm a2200325 a 4500 001 2213911
003 DE-He213
005 20200224101428.0
006 m d
007 cr nn 008maaau
008 201118s2020 sz s 0 eng d
020 $a 9783030222970 $q (electronic bk.)
020 $a 9783030222963 $q (paper)
024 7 $a 10.1007/978-3-030-22297-0 $2 doi
035 $a 978-3-030-22297-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA274
072 7 $a TJFC $2 bicssc
072 7 $a TEC008010 $2 bisacsh
072 7 $a TJFC $2 thema
082 0 4 $a 621.3815 $2 23
090 $a QA274 $b .L668 2020
100 1 $a Levy, Bernard C. $3 3443903
245 1 0 $a Random processes with applications to circuits and communications $h [electronic resource] / $c by Bernard C. Levy.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiii, 464 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- 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 $a This 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 $a Stochastic processes. $3 520663
650 0 $a Electronic circuits. $3 528097
650 1 4 $a Circuits and Systems. $3 896527
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Communications Engineering, Networks. $3 891094
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-22297-0
950 $a Engineering (Springer-11647)