Intuitive Probability and Random Processes using MATLAB®

Details:

Erscheinungsdatum:	16.12.2005
Medium:	Buch
Einband:	Gebunden
Titel:	Intuitive Probability and Random Processes using MATLAB®
Auflage:	1. Auflage von 1950 1st ed. 2006
Autor:	Kay, Steven
Verlag:	Springer Springer US
Sprache:	Englisch
Schlagworte:	MATLAB Wahrscheinlichkeitsrechnung
Rubrik:	Elektronik Elektrotechnik, Nachrichtentechnik
Informationen:	Book
Gewicht:	1769 gr
ISBN-13:	9780387241579
ISBN-10:	0387241574
Herstellernummer:	11054474
Zustand:	Neuware

Beschreibung:

<EM>Intuitive Probability and Random Processes using MATLAB®</EM> is an introduction to probability and random processes that merges theory with practice. Based on the author's 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

<EM>Intuitive Probability and Random Processes using MATLAB®</EM> 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.

Inhaltsverzeichnis:

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.

Information:

Featuring MATLAB examples to provide motivation for the theory to come, this introductory text incorporates MATLAB code to allow students to understand how the theory is applied in practice. Numerous computer exercises familiarize the student with MATLAB and how it is used to solve real problems. "Real-world" problems from various disciplines are emphasized in each chapter to illlustrate the application of the concepts. Beginning with discrete random variables, readers then encounter continuous random variables, thus minimizing confusion.