Probability And Random Processes

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Probability, Random Variables, and Random Processes

Author : John J. Shynk
Publisher : John Wiley & Sons
ISBN 13 : 1118393953
Total Pages : 850 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis Probability, Random Variables, and Random Processes by : John J. Shynk

Download or read book Probability, Random Variables, and Random Processes written by John J. Shynk and published by John Wiley & Sons. This book was released on 2012-10-15 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Probability, Statistics, and Random Processes

Author : Hossein Pishro-Nik
Publisher :
ISBN 13 : 9780990637202
Total Pages : 746 pages
Book Rating : 4.6/5 (372 download)

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Book Synopsis Introduction to Probability, Statistics, and Random Processes by : Hossein Pishro-Nik

Download or read book Introduction to Probability, Statistics, and Random Processes written by Hossein Pishro-Nik and published by . This book was released on 2014-08-15 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities; limit theorems and convergence; introduction to Bayesian and classical statistics; random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion; simulation using MATLAB and R.

Probability and Random Processes

Author : Scott Miller
Publisher : Academic Press
ISBN 13 : 0123869811
Total Pages : 625 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Probability and Random Processes by : Scott Miller

Download or read book Probability and Random Processes written by Scott Miller and published by Academic Press. This book was released on 2012-01-11 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fundamentals of Applied Probability and Random Processes

Author : Oliver Ibe
Publisher : Academic Press
ISBN 13 : 0128010355
Total Pages : 456 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Fundamentals of Applied Probability and Random Processes by : Oliver Ibe

Download or read book Fundamentals of Applied Probability and Random Processes written by Oliver Ibe and published by Academic Press. This book was released on 2014-06-13 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings Expands readers’ understanding of disruptive statistics in a new chapter (chapter 8) Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts. Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).

Probability and Random Processes

Author : S. Palaniammal
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 9788120342453
Total Pages : 724 pages
Book Rating : 4.3/5 (424 download)

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Book Synopsis Probability and Random Processes by : S. Palaniammal

Download or read book Probability and Random Processes written by S. Palaniammal and published by PHI Learning Pvt. Ltd.. This book was released on 2011-06-30 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the fundamental concepts and applications of probability and random processes. Beginning with a discussion of probability theory, the text analyses various types of random processes. It also discusses in detail the random variables, standard distributions, correlation and spectral densities, and linear systems.

Probability and Random Processes

Author : Venkatarama Krishnan
Publisher : John Wiley & Sons
ISBN 13 : 0471998281
Total Pages : 739 pages
Book Rating : 4.4/5 (719 download)

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Book Synopsis Probability and Random Processes by : Venkatarama Krishnan

Download or read book Probability and Random Processes written by Venkatarama Krishnan and published by John Wiley & Sons. This book was released on 2006-06-27 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Theory of Probability and Random Processes

Author : Leonid Koralov
Publisher : Springer Science & Business Media
ISBN 13 : 3540688293
Total Pages : 346 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Theory of Probability and Random Processes by : Leonid Koralov

Download or read book Theory of Probability and Random Processes written by Leonid Koralov and published by Springer Science & Business Media. This book was released on 2007-08-10 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of this book. It provides a comprehensive and self-contained exposition of classical probability theory and the theory of random processes. The book includes detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. It also includes the theory of stationary random processes, martingales, generalized random processes, and Brownian motion.

Probability, Random Processes, and Ergodic Properties

Author : Robert M. Gray
Publisher : Springer Science & Business Media
ISBN 13 : 1475720246
Total Pages : 309 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Probability, Random Processes, and Ergodic Properties by : Robert M. Gray

Download or read book Probability, Random Processes, and Ergodic Properties written by Robert M. Gray and published by Springer Science & Business Media. This book was released on 2013-04-18 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has been written for several reasons, not all of which are academic. This material was for many years the first half of a book in progress on information and ergodic theory. The intent was and is to provide a reasonably self-contained advanced treatment of measure theory, prob ability theory, and the theory of discrete time random processes with an emphasis on general alphabets and on ergodic and stationary properties of random processes that might be neither ergodic nor stationary. The intended audience was mathematically inc1ined engineering graduate students and visiting scholars who had not had formal courses in measure theoretic probability . Much of the material is familiar stuff for mathematicians, but many of the topics and results have not previously appeared in books. The original project grew too large and the first part contained much that would likely bore mathematicians and dis courage them from the second part. Hence I finally followed the suggestion to separate the material and split the project in two. The original justification for the present manuscript was the pragmatic one that it would be a shame to waste all the effort thus far expended. A more idealistic motivation was that the presentation bad merit as filling a unique, albeit smaIl, hole in the literature.

Probability, Random Variables, Statistics, and Random Processes

Author : Ali Grami
Publisher : John Wiley & Sons
ISBN 13 : 1119300835
Total Pages : 497 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Probability, Random Variables, Statistics, and Random Processes by : Ali Grami

Download or read book Probability, Random Variables, Statistics, and Random Processes written by Ali Grami and published by John Wiley & Sons. This book was released on 2019-03-04 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensively used in various Engineering disciplines as well as in a variety of programs in Life and Social Sciences. The text provides students with the requisite building blocks of knowledge they require to understand and progress in their areas of interest. With a simple, clear-cut style of writing, the intuitive explanations, insightful examples, and practical applications are the hallmarks of this book. The text consists of twelve chapters divided into four parts. Part-I, Probability (Chapters 1 – 3), lays a solid groundwork for probability theory, and introduces applications in counting, gambling, reliability, and security. Part-II, Random Variables (Chapters 4 – 7), discusses in detail multiple random variables, along with a multitude of frequently-encountered probability distributions. Part-III, Statistics (Chapters 8 – 10), highlights estimation and hypothesis testing. Part-IV, Random Processes (Chapters 11 – 12), delves into the characterization and processing of random processes. Other notable features include: Most of the text assumes no knowledge of subject matter past first year calculus and linear algebra With its independent chapter structure and rich choice of topics, a variety of syllabi for different courses at the junior, senior, and graduate levels can be supported A supplemental website includes solutions to about 250 practice problems, lecture slides, and figures and tables from the text Given its engaging tone, grounded approach, methodically-paced flow, thorough coverage, and flexible structure, Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications clearly serves as a must textbook for courses not only in Electrical Engineering, but also in Computer Engineering, Software Engineering, and Computer Science.

Probability and Random Processes

Author : Geoffrey Grimmett
Publisher : Oxford University Press
ISBN 13 : 9780198572220
Total Pages : 626 pages
Book Rating : 4.5/5 (722 download)

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Book Synopsis Probability and Random Processes by : Geoffrey Grimmett

Download or read book Probability and Random Processes written by Geoffrey Grimmett and published by Oxford University Press. This book was released on 2001-05-31 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a wide-ranging and entertaining indroduction to probability and random processes and many of their practical applications. It includes many exercises and problems with solutions.

Exercise Solutions to Accompany Probability and Random Processes

Author : Amedeo R. Odoni
Publisher :
ISBN 13 : 9780070475670
Total Pages : 415 pages
Book Rating : 4.4/5 (756 download)

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Book Synopsis Exercise Solutions to Accompany Probability and Random Processes by : Amedeo R. Odoni

Download or read book Exercise Solutions to Accompany Probability and Random Processes written by Amedeo R. Odoni and published by . This book was released on 1970 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Probability and Random Processes for Electrical and Computer Engineers

Author : John A. Gubner
Publisher : Cambridge University Press
ISBN 13 : 1139457179
Total Pages : 4 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Probability and Random Processes for Electrical and Computer Engineers by : John A. Gubner

Download or read book Probability and Random Processes for Electrical and Computer Engineers written by John A. Gubner and published by Cambridge University Press. This book was released on 2006-06-01 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Probability and Stochastic Processes

Author : Ionut Florescu
Publisher : John Wiley & Sons
ISBN 13 : 0470624558
Total Pages : 578 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Probability and Stochastic Processes by : Ionut Florescu

Download or read book Probability and Stochastic Processes written by Ionut Florescu and published by John Wiley & Sons. This book was released on 2014-10-27 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and accessible presentation of probability and stochastic processes with emphasis on key theoretical concepts and real-world applications With a sophisticated approach, Probability and Stochastic Processes successfully balances theory and applications in a pedagogical and accessible format. The book’s primary focus is on key theoretical notions in probability to provide a foundation for understanding concepts and examples related to stochastic processes. Organized into two main sections, the book begins by developing probability theory with topical coverage on probability measure; random variables; integration theory; product spaces, conditional distribution, and conditional expectations; and limit theorems. The second part explores stochastic processes and related concepts including the Poisson process, renewal processes, Markov chains, semi-Markov processes, martingales, and Brownian motion. Featuring a logical combination of traditional and complex theories as well as practices, Probability and Stochastic Processes also includes: Multiple examples from disciplines such as business, mathematical finance, and engineering Chapter-by-chapter exercises and examples to allow readers to test their comprehension of the presented material A rigorous treatment of all probability and stochastic processes concepts An appropriate textbook for probability and stochastic processes courses at the upper-undergraduate and graduate level in mathematics, business, and electrical engineering, Probability and Stochastic Processes is also an ideal reference for researchers and practitioners in the fields of mathematics, engineering, and finance.

Probability, Random Processes, and Statistical Analysis

Author : Hisashi Kobayashi
Publisher : Cambridge University Press
ISBN 13 : 1139502611
Total Pages : 813 pages
Book Rating : 4.1/5 (395 download)

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Book Synopsis Probability, Random Processes, and Statistical Analysis by : Hisashi Kobayashi

Download or read book Probability, Random Processes, and Statistical Analysis written by Hisashi Kobayashi and published by Cambridge University Press. This book was released on 2011-12-15 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum–Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals.

Probability,Statistics and Random Processes

Author : Pappu Kousalya
Publisher : Pearson Education India
ISBN 13 : 9332514143
Total Pages : 585 pages
Book Rating : 4.3/5 (325 download)

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Book Synopsis Probability,Statistics and Random Processes by : Pappu Kousalya

Download or read book Probability,Statistics and Random Processes written by Pappu Kousalya and published by Pearson Education India. This book was released on with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability, Statistics and Random Processes is designed to meet the requirements of students and is intended for beginners to help them understand the concepts from the first principles. Spread across 16 chapters, it discusses the theoretical aspects that have been refined and updated to reflect the current developments in the subjects. It expounds on theoretical concepts that have immense practical applications, giving adequate proofs to establish significant theorems.

Probability, Statistics, and Random Processes for Engineers

Author : Henry Stark
Publisher :
ISBN 13 : 9780273752288
Total Pages : 646 pages
Book Rating : 4.7/5 (522 download)

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Book Synopsis Probability, Statistics, and Random Processes for Engineers by : Henry Stark

Download or read book Probability, Statistics, and Random Processes for Engineers written by Henry Stark and published by . This book was released on 2012 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: For courses in Probability and Random Processes. Probability, Statistics, and Random Processes for Engineers, 4e is a comprehensive treatment of probability and random processes that, more than any other available source, combines rigor with accessibility. Beginning with the fundamentals of probability theory and requiring only college-level calculus, the book develops all the tools needed to understand more advanced topics such as random sequences, continuous-time random processes, and statistical signal processing. The book progresses at a leisurely pace, never assuming more knowledge than contained in the material already covered. Rigor is established by developing all results from the basic axioms and carefully defining and discussing such advanced notions as stochastic convergence, stochastic integrals and resolution of stochastic processes.

Intuitive Probability and Random Processes using MATLAB®

Author : Steven Kay
Publisher : Springer Science & Business Media
ISBN 13 : 0387241582
Total Pages : 838 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Intuitive Probability and Random Processes using MATLAB® by : Steven Kay

Download or read book Intuitive Probability and Random Processes using MATLAB® written by Steven Kay and published by Springer Science & Business Media. This book was released on 2006-03-20 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: *heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLAB® is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the Author Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.