Random Signals and Processes Primer with MATLAB

ISBN-13: 9781493900282 / Angielski / Miękka / 2014 / 530 str.

Gordana Jovanovic Dolecek

Opis

This book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics. It assumes a minimal amount of mathematical background and focuses on concepts, related terms and interesting applications to a variety of fields. All of this is motivated by numerous examples implemented with MATLAB, as well as a variety of exercises at the end of each chapter.

Recenzje

From the reviews:

"An excellent feature of this book is that it has many examples and applications implemented in MATLAB, as well as numerical exercises with answers, questions and answers at the end of each chapter and thus making the book an ideal choice with minimal mathematical background needed for self-reading and/or adaptation for a course on Random Signals and Processes either at undergraduate level or first year graduate level for students in electrical, mechanical, communication and control engineering. ... an excellent addition to the field ... ." (D. Subbaram Naidu, Amazon.com, October, 2013)

Spis treści

Introduction to Sample Space and Probability.- Random Variable.- Multidimensional Random Variables.- Normal Random Variable.- Other Important Random Variables.- Random Processes.- Spectral Characteristics of Random Processes.

Blurb

This book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics.  It assumes a minimal amount of mathematical background and focuses on concepts, related terms and interesting applications to a variety of fields.  All of this is motivated by numerous examples implemented with MATLAB.

 

• Provides a highly accessible introduction to the concepts and key terms related to random variables and processes;
• Assumes minimal mathematical background and gives simple explanations of key terms such as density, distribution, mean value, variance, correlation, autocorrelation, ergodicity, etc;
• Includes many examples and applications implemented in MATLAB.