Probability, Statistics, and Random Processes for Electrical Engineering

Probability, Statistics, and Random Processes for Electrical Engineering PDF Author: Alberto Leon-Garcia
Publisher: Prentice Hall
ISBN: 0131471228
Category : Electric engineering
Languages : en
Pages : 833

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Book Description
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.

Probability, Statistics, and Random Processes for Electrical Engineering

Probability, Statistics, and Random Processes for Electrical Engineering PDF Author: Alberto Leon-Garcia
Publisher: Prentice Hall
ISBN: 0131471228
Category : Electric engineering
Languages : en
Pages : 833

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Book Description
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.

Probability and Random Processes for Electrical Engineering

Probability and Random Processes for Electrical Engineering PDF Author:
Publisher: Pearson Education India
ISBN: 9788131709177
Category :
Languages : en
Pages : 624

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Book Description


Probability and Random Processes for Electrical and Computer Engineers

Probability and Random Processes for Electrical and Computer Engineers PDF Author: John A. Gubner
Publisher: Cambridge University Press
ISBN: 1139457179
Category : Technology & Engineering
Languages : en
Pages : 4

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Book Description
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, Statistics, and Random Processes for Electrical Engineering

Probability, Statistics, and Random Processes for Electrical Engineering PDF Author: Alberto Leon-Garcia
Publisher:
ISBN: 9780132336215
Category : Electrical engineering
Languages : en
Pages : 828

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Book Description


Probability, Statistics, and Random Processes for Engineers

Probability, Statistics, and Random Processes for Engineers PDF Author: Richard H. Williams
Publisher: Thomson Brooks/Cole
ISBN:
Category : Engineering
Languages : en
Pages : 392

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Book Description
Written for advanced electrical and computer engineering students, this textbook explains fundamental probability and its applications and extensions. Among the application topics are noise or sinusoids with random phase, the calculation of means and standard deviations, and the application of probability to the reliability of devices and software. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com)

Probability and Stochastic Processes

Probability and Stochastic Processes PDF Author: Roy D. Yates
Publisher: John Wiley & Sons
ISBN: 1118324560
Category : Mathematics
Languages : en
Pages : 514

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Book Description
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, Statistics, and Random Processes for Engineers

Probability, Statistics, and Random Processes for Engineers PDF Author: Henry Stark
Publisher:
ISBN: 9780273752288
Category : Engineering
Languages : en
Pages : 646

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Book Description
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.

Probability for Electrical and Computer Engineers

Probability for Electrical and Computer Engineers PDF Author: Charles Therrien
Publisher: CRC Press
ISBN: 0203492617
Category : Technology & Engineering
Languages : en
Pages : 377

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Book Description
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.

Probability, Random Variables, Statistics, and Random Processes

Probability, Random Variables, Statistics, and Random Processes PDF Author: Ali Grami
Publisher: John Wiley & Sons
ISBN: 1119300835
Category : Mathematics
Languages : en
Pages : 497

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Book Description
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.

Introduction to Probability, Statistics, and Random Processes

Introduction to Probability, Statistics, and Random Processes PDF Author: Hossein Pishro-Nik
Publisher:
ISBN: 9780990637202
Category : Probabilities
Languages : en
Pages : 746

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Book Description
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.