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首页Probability and Stochastic Processes(ISBN 0471272140)
Probability and Stochastic Processes(ISBN 0471272140)

Probability and Stochastic Processes(ISBN 0471272140) Probability and Stochastic Processes(ISBN 0471272140)Quiz解答 http://download.csdn.net/detail/u012418694/9114333 Probability and Stochastic Processes(ISBN 0471272140)Problem解答 http://download.csdn.net/detail/u012418694/9114321
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Probability and
Stochastic Processes

Features of this Text
Who will benefit from using this text?
This text can be used in Junior, Senior or graduate level courses in probability, stochastic
process, random signal processing and queuing theory. The mathematical exposition will
appeal to students and practioners in many areas. The examples, quizzes, and problems are
typical of those encountered by practicing electrical and computer engineers. Professionals
in the telecommunications and wireless industry will find it particularly useful.
What’s New?
This text has been expanded greatly with new material:
• Matlab examples and problems give students hands-on access to theory and ap-
plications. Every chapter includes guidance on how to use MATLAB to perform
calculations and simulations relevant to the subject of the chapter.
• A new chapter on Random Vectors
• Expanded and enhanced coverage of Random Signal Processing
• Streamlined exposition of Markov Chains and Queuing Theory provides quicker
access to theories of greatest practical importance
Notable Features
The Friendly Approach
The friendly and accessible writing style gives students an intuitive feeling for the
formal mathematics.
Quizzes and Homework Problems
An extensive collection of in-chapter Quizzes provides check points for readers to
gauge their understanding. Hundreds of end-of-chapter problems are clearly marked
as to their degree of difficulty from beginner to expert.
Website for Students http://www.wiley.com/college/yates
Available for download: All Matlab m-files in the text, the Quiz Solutions Manual
Instructor Support
Instructors should register at the Instructor Companion Site (ISC) at Wiley in order to
obtain supplements. The ISC can be reached by accessing the text’s companion web page
http://www.wiley.com/college/yates
• Unparalleled in its offerings, this Second Edition provides a web-based interface for
instructorstocreatecustomizedsolutions documentsthat outputin PDFor PostScript.
• Extensive PowerPoint slides are available.

Probability and
Stochastic Processes
A Friendly Introduction
for Electrical and Computer Engineers
Second Edition
Roy D. Yates
Rutgers, The State University of New Jersey
David J. Goodman
Polytechnic University
JOHN WILEY & SONS, INC.

EXECUTIVE EDITOR Bill Zobrist
MARKETING MANAGER Jennifer Powers
PRODUCTION EDITOR Ken Santor
COVER DESIGNER Dawn Stanley
This book was set in Times Roman by the authors using L
A
T
E
Xand printed and bound by
Malloy, Inc. The cover was printed by Lehigh Press.
About the cover: The cover shows a cutaway view of a bivariate Gaussian probability den-
sity function. The bell-shaped cross-sections show that the marginal densities are Gaussian.
This book is printed on acid-free paper. ∞
Copyright
c
2005 John Wiley & Sons, Inc. All rights reserved.
No part of this publication may be reproduced, stored in a retrieval system or transmitted
in any form or by any means, electronic, mechanical, photocopying, recording, scanning
or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States
CopyrightAct, withouteither the prior written permission of the Publisher, or authorization
through payment of the appropriate per-copy fee to the Copyright Clearance Center, 222
Rosewood Drive,Danvers,MA 01923, (978)750-8400,fax(978)750-4470. Requests to the
Publisher for permission should be addressed to the Permissions Department, John Wiley
& Sons, Inc., 111 River Street, Hoboken, NJ 07030 (201)748-6011, fax (201)748-6008,
E-Mail: PERMREQ@WILEY.COM.
To order books or for customer service call 1-800-CALL WILEY (225-5945).
ISBN 0-471-27214-0
WIE 0-471-45259-9
Printed in the United States of America
10987654321

To our children,
Tony, Brett, and Zachary Yates
Leila and Alissa Goodman
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