## Probability and Stochastic Processes

*A Friendly Introduction for Electrical and Computer Engineers*

**Author**: Roy D. Yates,David J. Goodman

**Publisher:**John Wiley & Sons

**ISBN:**1118324560

**Category:**Mathematics

**Page:**512

**View:**4883

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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.

## Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, 3rd Edition

*Third Edition*

**Author**: Roy D. Yates

**Publisher:**Wiley Global Education

**ISBN:**1118804384

**Category:**Mathematics

**Page:**544

**View:**4025

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In Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, readers are able to grasp the concepts of probability and stochastic processes, and apply these in professional engineering practice. The 3rd edition also includes quiz solutions within the appendix of the text. The resource presents concepts clearly as a sequence of building blocks identified as an axiom, definition or theorem. This approach allows for a better understanding of the material, which can be utilized in solving practical problems.

## Probability and Stochastic Processes, A Friendly Introduction for Electrical and Computer Engineers

**Author**: CTI Reviews

**Publisher:**Cram101 Textbook Reviews

**ISBN:**1497097223

**Category:**Education

**Page:**36

**View:**2253

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Facts101 is your complete guide to Probability and Stochastic Processes, A Friendly Introduction for Electrical and Computer Engineers. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

## Probability and Stochastic Processes for Engineers

**Author**: Carl W. Helstrom

**Publisher:**Macmillan Coll Division

**ISBN:**N.A

**Category:**Mathematics

**Page:**610

**View:**8955

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## Applied Probability and Stochastic Processes

**Author**: Richard M. Feldman,Ciriaco Valdez-Flores

**Publisher:**Springer Science & Business Media

**ISBN:**9783642051586

**Category:**Technology & Engineering

**Page:**397

**View:**5510

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This book is a result of teaching stochastic processes to junior and senior undergr- uates and beginning graduate students over many years. In teaching such a course, we have realized a need to furnish students with material that gives a mathematical presentation while at the same time providing proper foundations to allow students to build an intuitive feel for probabilistic reasoning. We have tried to maintain a b- ance in presenting advanced but understandable material that sparks an interest and challenges students, without the discouragement that often comes as a consequence of not understanding the material. Our intent in this text is to develop stochastic p- cesses in an elementary but mathematically precise style and to provide suf?cient examples and homework exercises that will permit students to understand the range of application areas for stochastic processes. We also practice active learning in the classroom. In other words, we believe that the traditional practice of lecturing continuously for 50 to 75 minutes is not a very effective method for teaching. Students should somehow engage in the subject m- ter during the teaching session. One effective method for active learning is, after at most 20 minutes of lecture, to assign a small example problem for the students to work and one important tool that the instructor can utilize is the computer. So- times we are fortunate to lecture students in a classroom containing computers with a spreadsheet program, usually Microsoft’s Excel.

## An Introduction to Probability and Stochastic Processes

**Author**: James L. Melsa,Andrew P. Sage

**Publisher:**Courier Corporation

**ISBN:**0486490998

**Category:**Mathematics

**Page:**403

**View:**4212

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Detailed coverage of probability theory, random variables and their functions, stochastic processes, linear system response to stochastic processes, Gaussian and Markov processes, and stochastic differential equations. 1973 edition.

## Digital Systems Engineering

**Author**: William J. Dally,John W. Poulton

**Publisher:**Cambridge University Press

**ISBN:**1139936239

**Category:**Computers

**Page:**N.A

**View:**5671

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What makes some computers slow? Why do some digital systems operate reliably for years while others fail mysteriously every few hours? How can some systems dissipate kilowatts while others operate off batteries? These questions of speed, reliability, and power are all determined by the system-level electrical design of a digital system. Digital Systems Engineering presents a comprehensive treatment of these topics. It combines a rigorous development of the fundamental principles in each area with real-world examples of circuits and methods. The book not only serves as an undergraduate textbook, filling the gap between circuit design and logic design, but can also help practising digital designers keep pace with the speed and power of modern integrated circuits. The techniques described in this book, once used only in supercomputers, are essential to the correct and efficient operation of any type of digital system.

## Programming for Engineers

*A Foundational Approach to Learning C and Matlab*

**Author**: Aaron R. Bradley

**Publisher:**Springer Science & Business Media

**ISBN:**3642233031

**Category:**Computers

**Page:**238

**View:**5803

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To learn to program is to be initiated into an entirely new way of thinking about engineering, mathematics, and the world in general. Computation is integral to all modern engineering disciplines, so the better you are at programming, the better you will be in your chosen field. The author departs radically from the typical presentation by teaching concepts and techniques in a rigorous manner rather than listing how to use libraries and functions. He presents pointers in the very first chapter as part of the development of a computational model that facilitates an ab initio presentation of subjects such as function calls, call-by-reference, arrays, the stack, and the heap. The model also allows students to practice the essential skill of memory manipulation throughout the entire course rather than just at the end. As a result, this textbook goes further than is typical for a one-semester course -- abstract data types and linked lists, for example, are covered in depth. The computational model will also serve students in their adventures with programming beyond the course: instead of falling back on rules, they can think through the model to decide how a new programming concept fits with what they already know. The book is appropriate for undergraduate students of engineering and computer science, and graduate students of other disciplines. It contains many exercises integrated into the main text, and the author has made the source code available online.

## Electrical Energy Conversion and Transport

*An Interactive Computer-Based Approach*

**Author**: George G. Karady,Keith E. Holbert

**Publisher:**John Wiley & Sons

**ISBN:**1118498038

**Category:**Technology & Engineering

**Page:**854

**View:**8280

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Provides relevant material for engineering students and practicing engineers who want to learn the basics of electrical power transmission, generation, and usage This Second Edition of Electrical Energy Conversion and Transport is thoroughly updated to address the recent environmental effects of electric power generation and transmission, which have become more important in conjunction with the deregulation of the industry. The maintenance and development of the electrical energy generation and transport industry requires well-trained engineers who are able to use modern computation techniques to analyze electrical systems and understand the theory of electrical energy conversion. It includes new content that explores different power production methods, such as renewable energy sources (solar, wind, geothermal and ocean), as well as new sections that discuss the upcoming Smart Grid and distributed power generation using renewable energy conversion. Complete with a Solutions Manual and the use of Mathcad, MATLAB, and PSpice throughout for problem solving, Electrical Energy Conversion and Transport offers chapter coverage of: Electric Power Systems Single-Phase Circuits Transmission Lines Transformers Induction Machines Introduction to Power Electronics and Motor Control Electric Generating Stations Three-Phase Circuits Electromechanical Energy Conversion Synchronous Machines DC Machines This book is essential reading material for students and practicing engineers in the power industry who would like to learn computer-based electrical energy conversion and transport at their own pace.

## Probability and Random Processes for Electrical and Computer Engineers, Second Edition

**Author**: Charles Therrien,Murali Tummala

**Publisher:**CRC Press

**ISBN:**1439826986

**Category:**Computers

**Page:**431

**View:**1401

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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.

## Electric Energy

*An Introduction, Third Edition*

**Author**: Mohamed A. El-Sharkawi

**Publisher:**CRC Press

**ISBN:**1498760031

**Category:**Technology & Engineering

**Page:**606

**View:**8626

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The search for renewable energy and smart grids, the societal impact of blackouts, and the environmental impact of generating electricity, along with the new ABET criteria, continue to drive a renewed interest in electric energy as a core subject. Keeping pace with these changes, Electric Energy: An Introduction, Third Edition restructures the traditional introductory electric energy course to better meet the needs of electrical and mechanical engineering students. Now in color, this third edition of a bestselling textbook gives students a wider view of electric energy, without sacrificing depth. Coverage includes energy resources, renewable energy, power plants and their environmental impacts, electric safety, power quality, power market, blackouts, and future power systems. The book also makes the traditional topics of electromechanical conversion, transformers, power electronics, and three-phase systems more relevant to students. Throughout, it emphasizes issues that engineers encounter in their daily work, with numerous examples drawn from real systems and real data. What’s New in This Edition Color illustrations Substation and distribution equipment Updated data on energy resources Expanded coverage of power plants Expanded material on renewable energy Expanded material on electric safety Three-phase system and pulse width modulation for DC/AC converters Induction generator More information on smart grids Additional problems and solutions Combining the fundamentals of traditional energy conversion with contemporary topics in electric energy, this accessible textbook gives students the broad background they need to meet future challenges.

## Studyguide for Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers by Yates, Roy D., ISBN 978111832456

**Author**: Cram101 Textbook Reviews

**Publisher:**Cram101

**ISBN:**9781497095038

**Category:**Education

**Page:**110

**View:**8856

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Never HIGHLIGHT a Book Again! Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9781118324561. This item is printed on demand.

## ARM Assembly Language

*Fundamentals and Techniques, Second Edition*

**Author**: William Hohl,Christopher Hinds

**Publisher:**CRC Press

**ISBN:**1498782671

**Category:**Computers

**Page:**453

**View:**7824

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Delivering a solid introduction to assembly language and embedded systems, ARM Assembly Language: Fundamentals and Techniques, Second Edition continues to support the popular ARM7TDMI, but also addresses the latest architectures from ARM, including CortexTM-A, Cortex-R, and Cortex-M processors—all of which have slightly different instruction sets, programmer’s models, and exception handling. Featuring three brand-new chapters, a new appendix, and expanded coverage of the ARM7TM, this edition: Discusses IEEE 754 floating-point arithmetic and explains how to program with the IEEE standard notation Contains step-by-step directions for the use of KeilTM MDK-ARM and Texas Instruments (TI) Code Composer StudioTM Provides a resource to be used alongside a variety of hardware evaluation modules, such as TI’s Tiva Launchpad, STMicroelectronics’ iNemo and Discovery, and NXP Semiconductors’ Xplorer boards Written by experienced ARM processor designers, ARM Assembly Language: Fundamentals and Techniques, Second Edition covers the topics essential to writing meaningful assembly programs, making it an ideal textbook and professional reference.

## Probability and Stochastic Modeling

**Author**: Vladimir I. Rotar

**Publisher:**CRC Press

**ISBN:**1439872066

**Category:**Mathematics

**Page:**508

**View:**6898

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A First Course in Probability with an Emphasis on Stochastic Modeling Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains, birth-death processes, and reliability models. Unlike most undergraduate-level probability texts, the book also focuses on increasingly important areas, such as martingales, classification of dependency structures, and risk evaluation. Numerous examples, exercises, and models using real-world data demonstrate the practical possibilities and restrictions of different approaches and help students grasp general concepts and theoretical results. The text is suitable for majors in mathematics and statistics as well as majors in computer science, economics, finance, and physics. The author offers two explicit options to teaching the material, which is reflected in "routes" designated by special "roadside" markers. The first route contains basic, self-contained material for a one-semester course. The second provides a more complete exposition for a two-semester course or self-study.

## Probability and Statistics for Computer Scientists, Second Edition

**Author**: Michael Baron

**Publisher:**CRC Press

**ISBN:**1498760600

**Category:**Mathematics

**Page:**449

**View:**1278

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Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. Written in a lively style with simple language, this classroom-tested book can now be used in both one- and two-semester courses. New to the Second Edition Axiomatic introduction of probability Expanded coverage of statistical inference, including standard errors of estimates and their estimation, inference about variances, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap More exercises at the end of each chapter Additional MATLAB® codes, particularly new commands of the Statistics Toolbox In-Depth yet Accessible Treatment of Computer Science-Related Topics Starting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). Encourages Practical Implementation of Skills Using simple MATLAB commands (easily translatable to other computer languages), the book provides short programs for implementing the methods of probability and statistics as well as for visualizing randomness, the behavior of random variables and stochastic processes, convergence results, and Monte Carlo simulations. Preliminary knowledge of MATLAB is not required. Along with numerous computer science applications and worked examples, the text presents interesting facts and paradoxical statements. Each chapter concludes with a short summary and many exercises.

## Linear Operator Theory in Engineering and Science

**Author**: Arch W. Naylor,George R. Sell

**Publisher:**Springer Science & Business Media

**ISBN:**9780387950013

**Category:**Mathematics

**Page:**624

**View:**5049

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This book is a unique introduction to the theory of linear operators on Hilbert space. The authors' goal is to present the basic facts of functional analysis in a form suitable for engineers, scientists, and applied mathematicians. Although the Definition-Theorem-Proof format of mathematics is used, careful attention is given to motivation of the material covered and many illustrative examples are presented. First published in 1971, Linear Operator in Engineering and Sciences has since proved to be a popular and very useful textbook.

## RF and Microwave Engineering

*Fundamentals of Wireless Communications*

**Author**: Frank Gustrau

**Publisher:**John Wiley & Sons

**ISBN:**1118349571

**Category:**Technology & Engineering

**Page:**360

**View:**7059

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This book provides a fundamental and practical introduction to radio frequency and microwave engineering and physical aspects of wireless communication In this book, the author addresses a wide range of radio-frequency and microwave topics with emphasis on physical aspects including EM and voltage waves, transmission lines, passive circuits, antennas, radio wave propagation. Up-to-date RF design tools like RF circuit simulation, EM simulation and computerized smith charts, are used in various examples to demonstrate how these methods can be applied effectively in RF engineering practice. Design rules and working examples illustrate the theoretical parts. The examples are close to real world problems, so the reader can directly transfer the methods within the context of their own work. At the end of each chapter a list of problems is given in order to deepen the reader’s understanding of the chapter material and practice the new competences. Solutions are available on the author’s website. Key Features: Presents a wide range of RF topics with emphasis on physical aspects e.g. EM and voltage waves, transmission lines, passive circuits, antennas Uses various examples of modern RF tools that show how the methods can be applied productively in RF engineering practice Incorporates various design examples using circuit and electromagnetic (EM) simulation software Discusses the propagation of waves: their representation, their effects, and their utilization in passive circuits and antenna structures Provides a list of problems at the end of each chapter Includes an accompanying website containing solutions to the problems (http:\\www.fh-dortmund.de\gustrau_rf_textbook) This will be an invaluable textbook for bachelor and masters students on electrical engineering courses (microwave engineering, basic circuit theory and electromagnetic fields, wireless communications). Early-stage RF practitioners, engineers (e.g. application engineer) working in this area will also find this book of interest.

## Probability and Random Processes for Electrical and Computer Engineers

**Author**: John A. Gubner

**Publisher:**Cambridge University Press

**ISBN:**1139457179

**Category:**Technology & Engineering

**Page:**639

**View:**7748

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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 in Electrical Engineering and Computer Science

*An Application-Driven Course*

**Author**: Jean Walrand

**Publisher:**N.A

**ISBN:**9780615899367

**Category:**Computer science

**Page:**314

**View:**6651

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The book is designed for a junior/senior level course. Applications drive the material: PageRank, Multiplexing, Digital Link, Tracking, Speech Recognition, Route Planning and more. Topics include Markov chains, detection, coding, estimation, Viterbi algorithm, expectation maximization, clustering, compressed sensing, recommender systems, Kalman Filter, Markov decision problems, LQG, and channel capacity. Matlab examples are used to simulate models and to implement the algorithms. Appendices provide the necessary background in basic probability and linear algebra. See https: //sites.google.com/site/walrandpeecs/home.