Probability And Random Processes For Electrical And Computer Engineers

Author : John A. Gubner
Publisher : Cambridge University Press
Page : 4 pages
File Size : 55,6 Mb
Release : 2006-06-01
Category : Technology & Engineering
ISBN : 9781139457170

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Probability and Random Processes for Electrical and Computer Engineers by John A. Gubner Pdf

The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design the technology they develop. The text begins at the advanced undergraduate level, assuming only a modest knowledge of probability, and progresses through more complex topics mastered at graduate level. The first five chapters cover the basics of probability and both discrete and continuous random variables. The later chapters have a more specialized coverage, including random vectors, Gaussian random vectors, random processes, Markov Chains, and convergence. Describing tools and results that are used extensively in the field, this is more than a textbook; it is also a reference for researchers working in communications, signal processing, and computer network traffic analysis. With over 300 worked examples, some 800 homework problems, and sections for exam preparation, this is an essential companion for advanced undergraduate and graduate students. Further resources for this title, including solutions (for Instructors only), are available online at www.cambridge.org/9780521864701.

Author : Charles Therrien,Murali Tummala
Publisher : CRC Press
Page : 377 pages
File Size : 44,7 Mb
Release : 2004-06-01
Category : Technology & Engineering
ISBN : 9780203492611

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Probability for Electrical and Computer Engineers by Charles Therrien,Murali Tummala Pdf

Scientists and engineers must use methods of probability to predict the outcome of experiments, extrapolate results from a small case to a larger one, and design systems that will perform optimally when the exact characteristics of the inputs are unknown. While many engineering books dedicated to the advanced aspects of random processes and systems include background information on probability, an introductory text devoted specifically to probability and with engineering applications is long overdue. Probability for Electrical and Computer Engineers provides an introduction to probability and random variables. Written in a clear and concise style that makes the topic interesting and relevant for electrical and computer engineering students, the text also features applications and examples useful to anyone involved in other branches of engineering or physical sciences. Chapters focus on the probability model, random variables and transformations, inequalities and limit theorems, random processes, and basic combinatorics. These topics are reinforced with computer projects available on the CRC Press Web site. This unique book enhances the understanding of probability by introducing engineering applications and examples at the earliest opportunity, as well as throughout the text. Electrical and computer engineers seeking solutions to practical problems will find it a valuable resource in the design of communication systems, control systems, military or medical sensing or monitoring systems, and computer networks.

Author : Charles Therrien,Murali Tummala
Publisher : CRC Press
Page : 431 pages
File Size : 42,5 Mb
Release : 2018-09-03
Category : Computers
ISBN : 9781439897492

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Probability and Random Processes for Electrical and Computer Engineers by Charles Therrien,Murali Tummala Pdf

With updates and enhancements to the incredibly successful first edition, Probability and Random Processes for Electrical and Computer Engineers, Second Edition retains the best aspects of the original but offers an even more potent introduction to probability and random variables and processes. Written in a clear, concise style that illustrates the subject’s relevance to a wide range of areas in engineering and physical and computer sciences, this text is organized into two parts. The first focuses on the probability model, random variables and transformations, and inequalities and limit theorems. The second deals with several types of random processes and queuing theory. New or Updated for the Second Edition: A short new chapter on random vectors that adds some advanced new material and supports topics associated with discrete random processes Reorganized chapters that further clarify topics such as random processes (including Markov and Poisson) and analysis in the time and frequency domain A large collection of new MATLAB®-based problems and computer projects/assignments Each Chapter Contains at Least Two Computer Assignments Maintaining the simplified, intuitive style that proved effective the first time, this edition integrates corrections and improvements based on feedback from students and teachers. Focused on strengthening the reader’s grasp of underlying mathematical concepts, the book combines an abundance of practical applications, examples, and other tools to simplify unnecessarily difficult solutions to varying engineering problems in communications, signal processing, networks, and associated fields.

Author : Roy D. Yates,David J. Goodman
Publisher : John Wiley & Sons
Page : 514 pages
File Size : 48,5 Mb
Release : 2014-01-28
Category : Mathematics
ISBN : 9781118324561

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Probability and Stochastic Processes by Roy D. Yates,David J. Goodman Pdf

This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first seven chapters contain the core material that is essential to any introductory course. In one-semester undergraduate courses, instructors can select material from the remaining chapters to meet their individual goals. Graduate courses can cover all chapters in one semester.

Author : Anonim
Publisher : Unknown
Page : 628 pages
File Size : 50,6 Mb
Release : 2006
Category : Computer engineering
ISBN : 0511220235

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Probability and Random Processes for Electrical and Computer Engineers by Anonim Pdf

The theory of probability has important applications for computer and electrical engineers as a tool to explain, model, analyse and design the technology they develop. Gubner presents the fundamentals of probability, then progresses to more complicated topics. Suitable for advanced undergraduates, graduates and as a reference for researchers.

Author : Yannis Viniotis
Publisher : McGraw-Hill Science, Engineering & Mathematics
Page : 704 pages
File Size : 46,7 Mb
Release : 1998
Category : Mathematics
ISBN : UOM:39015040139993

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Probability and Random Processes for Electrical Engineers by Yannis Viniotis Pdf

This book introduces the fundamentals of probability theory and random processes by demonstrating its application to real-world engineering problems. It connects theory and practice through an emphasis on mathematical modeling and promotes a hands-on approach to the subject. At every step of theoretical development, the student is invited to challenge the theory by asking "what-if" questions. Specially written Matlab programs, which are available at the text's Web site, encourage real data experimentation and facilitate the visual modeling of difficult probabilistic concepts. The modeling tools are clearly identified in every chapter and are accompanied by discussions of the applicability, power, and limitations of each tool. It is ideally suited for advanced undergraduates and graduate students in electrical and computer engineering.

Author : Anonim
Publisher : Pearson Education India
Page : 624 pages
File Size : 48,5 Mb
Release : 1994-09
Category : Electronic
ISBN : 8131709175

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Probability and Random Processes for Electrical Engineering by Anonim Pdf

Author : Alberto Leon-Garcia
Publisher : Prentice Hall
Page : 833 pages
File Size : 51,5 Mb
Release : 2008
Category : Electric engineering
ISBN : 9780131471221

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Probability, Statistics, and Random Processes for Electrical Engineering by Alberto Leon-Garcia Pdf

While helping students to develop their problem-solving skills, the author motivates students with practical applications from various areas of ECE that demonstrate the relevance of probability theory to engineering practice.

Author : Bruce Hajek
Publisher : Cambridge University Press
Page : 429 pages
File Size : 41,7 Mb
Release : 2015-03-12
Category : Computers
ISBN : 9781107100121

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Random Processes for Engineers by Bruce Hajek Pdf

An engaging introduction to the critical tools needed to design and evaluate engineering systems operating in uncertain environments.

Author : Scott Miller,Donald Childers
Publisher : Academic Press
Page : 625 pages
File Size : 45,7 Mb
Release : 2012-01-11
Category : Mathematics
ISBN : 9780123869814

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Probability and Random Processes by Scott Miller,Donald Childers Pdf

Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband random processes and simulation techniques. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Probability and Random Processes also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields. * Exceptional exposition and numerous worked out problems make the book extremely readable and accessible * The authors connect the applications discussed in class to the textbook * The new edition contains more real world signal processing and communications applications * Includes an entire chapter devoted to simulation techniques.

Author : Alberto Leon-Garcia
Publisher : Prentice Hall
Page : 596 pages
File Size : 52,7 Mb
Release : 1994
Category : Computers
ISBN : 020150037X

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Probability and Random Processes for Electrical Engineering by Alberto Leon-Garcia Pdf

This applications oriented book features coverage of Markov chains and queuing theory which is of particular interest to communications professionals--a newer area where many professionals will need an update or refresher. It also features computer-based methods and exercises providing the most up-to-date training for those in the fields of telecommunications and computer engineering.

Author : Venkatarama Krishnan
Publisher : John Wiley & Sons
Page : 739 pages
File Size : 41,7 Mb
Release : 2006-06-27
Category : Mathematics
ISBN : 9780471998280

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Probability and Random Processes by Venkatarama Krishnan Pdf

A resource for probability AND random processes, with hundreds ofworked examples and probability and Fourier transform tables This survival guide in probability and random processes eliminatesthe need to pore through several resources to find a certainformula or table. It offers a compendium of most distributionfunctions used by communication engineers, queuing theoryspecialists, signal processing engineers, biomedical engineers,physicists, and students. Key topics covered include: * Random variables and most of their frequently used discrete andcontinuous probability distribution functions * Moments, transformations, and convergences of randomvariables * Characteristic, generating, and moment-generating functions * Computer generation of random variates * Estimation theory and the associated orthogonalityprinciple * Linear vector spaces and matrix theory with vector and matrixdifferentiation concepts * Vector random variables * Random processes and stationarity concepts * Extensive classification of random processes * Random processes through linear systems and the associated Wienerand Kalman filters * Application of probability in single photon emission tomography(SPECT) More than 400 figures drawn to scale assist readers inunderstanding and applying theory. Many of these figures accompanythe more than 300 examples given to help readers visualize how tosolve the problem at hand. In many instances, worked examples aresolved with more than one approach to illustrate how differentprobability methodologies can work for the same problem. Several probability tables with accuracy up to nine decimal placesare provided in the appendices for quick reference. A specialfeature is the graphical presentation of the commonly occurringFourier transforms, where both time and frequency functions aredrawn to scale. This book is of particular value to undergraduate and graduatestudents in electrical, computer, and civil engineering, as well asstudents in physics and applied mathematics. Engineers, computerscientists, biostatisticians, and researchers in communicationswill also benefit from having a single resource to address mostissues in probability and random processes.

Author : Roy D. Yates,David J. Goodman
Publisher : Wiley
Page : 0 pages
File Size : 51,6 Mb
Release : 1998-08-13
Category : Technology & Engineering
ISBN : 0471178373

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Probability and Stochastic Processes by Roy D. Yates,David J. Goodman Pdf

What Does Winning the Lottery Have To do with Engineering? Whether you're trying to win millions in the lottery or designing a complex computer network, you're applying probability theory. Although you encounter probability applications everywhere, the theory can be deceptively difficult to learn and apply correctly. This text will help you grasp the concepts of probability and stochastic processes and apply them throughout your careers. These concepts are clearly presented throughout the book as a sequence of building blocks that are clearly identified as either an axiom, definition, or theorem. This approach provides you with a better understanding of the material which you'll be able to use to solve practical problems. Key Features: * The text follows a single model that begins with an experiment consisting of a procedure and observations. * The mathematics of discrete random variables appears separately from the mathematics of continuous random variables. * Stochastic processes are introduced in Chapter 6, immediately after the presentation of discrete and continuous random variables. Subsequent material, including central limit theorem approximations, laws of large numbers, and statistical inference, then use examples that reinforce stochastic process concepts. * An abundance of exercises are provided that help students learn how to put the theory to use.

Author : John J. Shynk
Publisher : John Wiley & Sons
Page : 850 pages
File Size : 50,9 Mb
Release : 2012-10-15
Category : Computers
ISBN : 9781118393956

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Probability, Random Variables, and Random Processes by John J. Shynk Pdf

Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some familiarity with probability and random variables, though not necessarily of random processes and systems that operate on random signals. It is also appropriate for advanced undergraduate students who have a strong mathematical background. The book has the following features: Several appendices include related material on integration, important inequalities and identities, frequency-domain transforms, and linear algebra. These topics have been included so that the book is relatively self-contained. One appendix contains an extensive summary of 33 random variables and their properties such as moments, characteristic functions, and entropy. Unlike most books on probability, numerous figures have been included to clarify and expand upon important points. Over 600 illustrations and MATLAB plots have been designed to reinforce the material and illustrate the various characterizations and properties of random quantities. Sufficient statistics are covered in detail, as is their connection to parameter estimation techniques. These include classical Bayesian estimation and several optimality criteria: mean-square error, mean-absolute error, maximum likelihood, method of moments, and least squares. The last four chapters provide an introduction to several topics usually studied in subsequent engineering courses: communication systems and information theory; optimal filtering (Wiener and Kalman); adaptive filtering (FIR and IIR); and antenna beamforming, channel equalization, and direction finding. This material is available electronically at the companion website. Probability, Random Variables, and Random Processes is the only textbook on probability for engineers that includes relevant background material, provides extensive summaries of key results, and extends various statistical techniques to a range of applications in signal processing.

Author : Giorgos Michel
Publisher : Unknown
Page : 330 pages
File Size : 51,5 Mb
Release : 2016-04-01
Category : Electronic
ISBN : 1681174529

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Probability and Stochastic Processes by Giorgos Michel Pdf

In probability theory, a stochastic process, or often random process, is a collection of random variables representing the evolution of some system of random values over time. This is the probabilistic counterpart to a deterministic process (or deterministic system). Instead of describing a process which can only evolve in one way (as in the case, for example, of solutions of an ordinary differential equation), in a stochastic, or random process, there is some indeterminacy: even if the initial condition is known, there are several directions in which the process may evolve. Classic examples of the stochastic process are guessing the length of a queue at a stated time given the random distribution over time of a number of people or objects entering and leaving the queue and guessing the amount of water in a reservoir based on the random distribution of rainfall and water usage. Stochastic processes were first studied rigorously in the late 19th century to aid in understanding financial markets and Brownian motion. Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers covers characterization, structural properties, inference and control of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests.