Probability And Random Processes Using Matlab

Author : Steven Kay
Publisher : Springer Science & Business Media
Page : 838 pages
File Size : 42,8 Mb
Release : 2006-03-20
Category : Technology & Engineering
ISBN : 9780387241586

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Intuitive Probability and Random Processes using MATLAB® by Steven Kay Pdf

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.

Author : Donald G. Childers
Publisher : Unknown
Page : 550 pages
File Size : 55,7 Mb
Release : 1997-01-01
Category : Engineering mathematics
ISBN : 0071144633

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Probability and Random Processes Using MATLAB by Donald G. Childers Pdf

Author : Scott Miller,Donald Childers
Publisher : Academic Press
Page : 625 pages
File Size : 50,5 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 : Hisashi Kobayashi,Brian L. Mark,William Turin
Publisher : Cambridge University Press
Page : 813 pages
File Size : 54,5 Mb
Release : 2011-12-15
Category : Technology & Engineering
ISBN : 9781139502610

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Probability, Random Processes, and Statistical Analysis by Hisashi Kobayashi,Brian L. Mark,William Turin Pdf

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.

Author : John J. Shynk
Publisher : John Wiley & Sons
Page : 850 pages
File Size : 41,8 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 : Henry Stark,John W. Woods
Publisher : Unknown
Page : 646 pages
File Size : 49,7 Mb
Release : 2012
Category : Engineering
ISBN : 0273752286

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Probability, Statistics, and Random Processes for Engineers by Henry Stark,John W. Woods Pdf

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.

Author : Donald G. Childers
Publisher : Irwin Professional Publishing
Page : 456 pages
File Size : 51,6 Mb
Release : 1997
Category : Computers
ISBN : UOM:39015038581875

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Probability and Random Processes by Donald G. Childers Pdf

Author : Shaila Dinkar Apte
Publisher : CRC Press
Page : 463 pages
File Size : 50,8 Mb
Release : 2017-08-15
Category : Mathematics
ISBN : 9781498782012

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Random Signal Processing by Shaila Dinkar Apte Pdf

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral density and power spectral density. The properties of random processes and signal modelling are discussed with basic communication theory estimation and detection. MATLAB simulations are included for each concept with output of the program with case studies and project ideas. The chapters progressively introduce and explain the concepts of random signals and cover multiple applications for signal processing. The book is designed to cater to a wide audience starting from the undergraduates (electronics, electrical, instrumentation, computer, and telecommunication engineering) to the researchers working in the pertinent fields. Key Features: • Aimed at random signal processing with parametric signal processing-using appropriate segment size. • Covers speech, image, medical images, EEG and ECG signal processing. • Reviews optimal detection and estimation. • Discusses parametric modeling and signal processing in transform domain. • Includes MATLAB codes and relevant exercises, case studies and solved examples including multiple choice questions

Author : Roy D. Yates,David J. Goodman
Publisher : John Wiley & Sons
Page : 514 pages
File Size : 46,9 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 : Donald G. Childers
Publisher : Unknown
Page : 433 pages
File Size : 45,6 Mb
Release : 1997
Category : Electronic
ISBN : OCLC:473652738

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Probability and Random Processes by Donald G. Childers Pdf

Author : Gordana Jovanovic Dolecek
Publisher : Springer Science & Business Media
Page : 539 pages
File Size : 45,5 Mb
Release : 2012-08-21
Category : Technology & Engineering
ISBN : 9781461423867

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Random Signals and Processes Primer with MATLAB by Gordana Jovanovic Dolecek Pdf

This book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics. It assumes a minimal amount of mathematical background and focuses on concepts, related terms and interesting applications to a variety of fields. All of this is motivated by numerous examples implemented with MATLAB, as well as a variety of exercises at the end of each chapter.

Author : S. Palaniammal
Publisher : PHI Learning Pvt. Ltd.
Page : 724 pages
File Size : 44,6 Mb
Release : 2011-06-30
Category : Mathematical techniques
ISBN : 8120342453

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Probability and Random Processes by S. Palaniammal Pdf

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.

Author : Charles Therrien,Murali Tummala
Publisher : CRC Press
Page : 431 pages
File Size : 46,8 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 : Hossein Pishro-Nik
Publisher : Unknown
Page : 746 pages
File Size : 55,7 Mb
Release : 2014-08-15
Category : Probabilities
ISBN : 0990637204

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Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik Pdf

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.

Author : Steven Kay
Publisher : Springer
Page : 834 pages
File Size : 47,5 Mb
Release : 2010-11-16
Category : Technology & Engineering
ISBN : 0387504427

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Intuitive Probability and Random Processes using MATLAB® by Steven Kay Pdf

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.