Intuitive Probability and Random Processes using MATLAB®

Intuitive Probability and Random Processes using MATLAB®
Author :
Publisher : Springer Science & Business Media
Total Pages : 838
Release :
ISBN-10 : 9780387241586
ISBN-13 : 0387241582
Rating : 4/5 (582 Downloads)

Book Synopsis Intuitive Probability and Random Processes using MATLAB® by : Steven Kay

Download or read book Intuitive Probability and Random Processes using MATLAB® written by Steven Kay and published by Springer Science & Business Media. This book was released on 2006-03-20 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intuitive Probability and Random Processes using MATLAB® 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 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.


Intuitive Probability and Random Processes using MATLAB® Related Books

Intuitive Probability and Random Processes using MATLAB®
Language: en
Pages: 838
Authors: Steven Kay
Categories: Technology & Engineering
Type: BOOK - Published: 2006-03-20 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the
Probability and Stochastic Processes
Language: en
Pages: 514
Authors: Roy D. Yates
Categories: Mathematics
Type: BOOK - Published: 2014-01-28 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book
Probability and Random Processes for Electrical and Computer Engineers
Language: en
Pages: 433
Authors: Charles Therrien
Categories: Computers
Type: BOOK - Published: 2018-09-03 - Publisher: CRC Press

DOWNLOAD EBOOK

With updates and enhancements to the incredibly successful first edition, Probability and Random Processes for Electrical and Computer Engineers, Second Edition
Probability, Random Variables, and Random Processes
Language: en
Pages: 850
Authors: John J. Shynk
Categories: Computers
Type: BOOK - Published: 2012-10-15 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical f
Introduction to Probability, Statistics, and Random Processes
Language: en
Pages: 746
Authors: Hossein Pishro-Nik
Categories: Probabilities
Type: BOOK - Published: 2014-08-15 - Publisher:

DOWNLOAD EBOOK

The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variabl