Probability, Random Variables, and Random Processes pdf

Author: John J. Shynk
Edition: 1
Publisher: Wiley-Interscience
Binding: Hardcover
ISBN: 0470242094
Category: Programming
List Price: $ 135.00
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Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications

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. Programming books Probability, Random Variables, and Random Processes pdf. 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. Download books Schaum's Outline of Probability, Random Variables and Random Processes. pdf via mediafire, 4shared, rapidshare.

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Designed for students in various disciplines of engineering, science, mathematics, management and business, this effective study tool includes hundreds of problems with step-by-step solutions and another 150 problems with hints or delayed answers. The solved problems illustrate and strongly reinforce vital theory and techniques. Topics taught include functions of random variables; expectation and limit theorems; and estimation theory, decision theory and queuing theory. About the Author McGraw-H

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author hwei p hsu format paperback language english publication year 01 09 2010 series schaum s outline series subject engineering technology subject 2 engineering technology textbooks study guides title schaum s outline of probability random variables and random processes author hsu hwei publisher mcgraw hill publication date aug 23 2010 pages 422 binding paperback edition 2 nd dimensions 8 25 wx 11 00 hx 0 75 d isbn 0071632891 subject mathematics probability statistics general description st

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Download Probability, Random Variables, and Random Processes

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. Download free Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications pdf