Probability, random variables, and random signal principles
Author(s)
Bibliographic Information
Probability, random variables, and random signal principles
（McGraw-Hill series in electrical and computer engineering, Communication and signal processing）
McGraw-Hill, c1993
3rd ed., international editions
- : pbk
Available at / 9 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references (p. 389-391) and index
Description and Table of Contents
- Volume
-
ISBN 9780070492738
Description
This concise introduction to probability theory for undergraduate electrical engineers offers a logical organization which stresses the fundamentals of the subject. The topics have been chosen to flow logically from simple to advanced. Examples and applications illustrating the theory are featured throughout the book, including discussions of noise figures and noise and random signals in systems, and over 800 exercises are included. This edition has added coverage of poisson random processes, measurement of power spectra, and computer generation of random variables. It has added several new fully-worked examples and exercises at the end of chapters. Also available is a solutions manual (0-07-049274-3).
Table of Contents
- Probability
- the random variable
- operations on one random variable-expectation
- multiple random variables
- operations on multiple random variables
- random processes
- spectral characteristics of random processes
- linear systems with random inputs
- optimum linear systems
- some practical applications of the theory.
- Volume
-
: pbk ISBN 9780071127820
Description
Designed for undergraduate electrical engineering students, the subject matter is organised logically, with the emphasis on fundamentals. It contains over eight hundred exercises, and practical applications such as discussions of noise figures and temperature. Third revised edition.
Table of Contents
- Probability
- the random variable
- operations on one random variable-expectation
- multiple random variables
- operations on multiple random variables
- random processes
- spectral characteristics of random processes
- linear systems with random inputs
- optimum linear systems
- some practical applications of the theory.
by "Nielsen BookData"
