Intuitive Probability and Random Processes Using MATLAB

ISBN-10: 0387241574

ISBN-13: 9780387241579

Edition: 2006

Authors: Steven M. Kay
List price: $84.95 Buy it from $45.05 Rent it from $30.17
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Description: Intuitive Probability and Random Processes using MATLAB is an introduction to probability and random processes that merges theory with practice. Based on the authors belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: *heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLAB is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the Author Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.

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Book details

List price: $84.95
Copyright year: 2006
Publisher: Springer
Publication date: 3/5/2012
Binding: Hardcover
Pages: 834
Size: 5.00" wide x 10.50" long x 1.50" tall
Weight: 3.586
Language: English

Introduction
Computer simulation
Basic probability
Conditional probability
Discrete random variables
Expected values for discrete random variables
Multiple discrete random variables
Conditional probability mass functions
Discrete N-dimensional random variables
Continuous random variables
Expected values for continuous random variables
Multiple continuous random variables
Conditional probability density functions
Continuous N-dimensional random variables
Probability and moment approximations using limit theorems
Basic random processes
Wide sense stationary random processes
Linear systems and wide sense stationary random processes
Multiple wide sense stationary random processes
Gaussian random processes
Poisson random processes
Markov chains
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