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Probability & Random Processes For Engineers at Meripustak

Probability & Random Processes For Engineers by J Ravichandran, Wiley India

Books from same Author: J Ravichandran

Books from same Publisher: Wiley India

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  • General Information  
    Author(s)J Ravichandran
    PublisherWiley India
    ISBN9789389520026
    Pages312
    BindingPaperback
    LanguageEnglish
    Publish YearNovember 2019

    Description

    Wiley India Probability & Random Processes For Engineers by J Ravichandran

    "Probability and Random Processes for Engineers" is recommended as a textbook for the courses related to Probability and Random Processes for engineering students at both graduate and post-graduate levels. The book contains nine chapters that are well organized and presented in order as the contents progress from one topic in one chapter to another topic in the proceeding chapters. In addition, there are appendixes that help in knowing some of the derivations for the results used in the text. Clearly, the book is user friendly, as it explains the concepts with suitable examples and graphical representations before solving problems. About the Author J. Ravichandran is Professor in the Department of Mathematics, Amrita Vishwa Vidhyapeetham, Coimbatore, India. He served in the Statistical Quality Control Department of a manufacturing industry for more than 12 years. He has published a number of papers on Six Sigma in international journals and websites. His areas of research include statistical quality control, statistical inference, Six Sigma, total quality management and statistical pattern recognition. He was a senior member of the American Society for Quality (ASQ) over 20 years. He is a life member of the Indian Society for Technical Education (ISTE). TABLE OF CONTENTS BOOK REVIEW An overview of random variables and probability distributions Introduction to random processes Stationarity of random processes Autocorrelation and its properties Binomial and poisson processes Normal process (gaussian process) Spectrum estimation: ergodicity Power spectrum: power spectral density functions Markov process and markov chain



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