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Probability and Random Processes With Applications to Signal Processing and Communications 2012 Edition at Meripustak

Probability and Random Processes With Applications to Signal Processing and Communications 2012 Edition by Scott Miller, Donald Childers , Elsevier

Books from same Author: Scott Miller, Donald Childers

Books from same Publisher: Elsevier

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  • General Information  
    Author(s)Scott Miller, Donald Childers
    PublisherElsevier
    ISBN9780123869814
    Pages522
    BindingPaperback
    LanguageEnglish
    Publish YearMarch 2012

    Description

    Elsevier Probability and Random Processes With Applications to Signal Processing and Communications 2012 Edition by Scott Miller, Donald Childers

    Probability and Random Processes, Second Edition presents pertinent applications to signal processing and communications, two areas of key interest to students and professionals in today's booming communications industry. The book includes unique chapters on narrowband random processes and simulation techniques. It also describes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and others.Exceptional exposition and numerous worked out problems make this 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. It introduces the reader to the basics of probability theory and explores topics ranging from random variables, distributions and density functions to operations on a single random variable. There are also discussions on pairs of random variables; multiple random variables; random sequences and series; random processes in linear systems; Markov processes; and power spectral density.This book is intended for practicing engineers and students in graduate-level courses in the topic. Table of Contents : 1. Introduction2. Introduction to Probability Theory3. Random Variables, Distributions and Density Functions4. Operations on a Single Random Variable5. Pairs of Random Variables6. Multiple Random Variables7. Random Sequences and Series8. Random Processes9. Markov Processes10. Power Spectral Density11. Random Processes in Linear Systems12. Simulation Techniques



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