Probability, Random Variables, and Random Signal Principles
Peyton Peebles(Author)
McGraw-Hill Publishing Co.
4th Edition
Published on 16. September 2000
Book
Hardback
480 pages
978-0-07-366007-3 (ISBN)
Article exhausted; check for reprint
Description
The fourth edition of "Probability, Random Variables and Random Signal Principles" continues the success of previous editions with its concise introduction to probability theory for the junior-senior level course in electrical engineering. The book offers a careful, logical organization which stresses fundamentals and includes almost 900 student exercises and abundant practical applications for engineers to understand probability concepts. The most important new material in this edition relates to discrete-time random processes and sequences, and other topics in the general area of digital signal processing, such as the DT linear system.
More details
Edition
4th Revised edition
Language
English
Place of publication
London
United Kingdom
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Edition type
Revised edition
Illustrations
Illustrations
Dimensions
Height: 238 mm
Width: 190 mm
Thickness: 24 mm
Weight
900 gr
ISBN-13
978-0-07-366007-3 (9780073660073)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
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Peyton Peebles
Probability, Random Variables, and Random Signal Principles
Book
10/2000
4th Edition
McGraw-Hill Professional
€64.47
Article is exhausted; no reprint
Content
1 Probability; 2 The Random Variable; 3 Operations on one Random Variable--Expectation; 4 Multiple Random Variables; 5 Operations of Multiple Random Variables; 6 Random Processes-Temporal Characteristics; 7 Random Processes-Spectral Characteristics; 8 Linear Systems with Random Inputs; 9 Optimum Linear Systems; 10 Some Practical Applications of the Theory; Appendix A Review of the Impulse Function; Appendix B Gaussian Distribution Function; Appendix C Useful Mathematical Quantities; Appendix D Review of Fourier Transforms; Appendix E Table of Useful Fourier Transforms; Appendix F Some Probability Densities and Distributions; Appendix G Some Mathematical Topics of Interest