Random Processes in Linear Systems

For courses in Probability/Random Processes and Digital Communications. This text provides an introduction to random processes that is suitable for advanced undergraduates, beginning graduate students, and practicing engineers. It could also serve as a supplemental text for a one- or two-semester course in digital communications or signal processing.

ISBN	0130673919	DEWEY edition	DC21
ISBN13	9780130673916 (What's this?)	Pages	157
Publisher	Pearson Education (US)	Volumes	1
Imprint	Prentice Hall	Weight (grammes)	265
Format	Paperback	Published in	Upper Saddle River
Publication date	01 Feb 2002	Height (mm)	235
Non-book description	x, 157 p. :	Width (mm)	178
Library of Congress	2001050071	Spine width (mm)	9
DEWEY	530.15923	Academic level	Tertiary education

	Preface
	Introduction
Ch. 1	Probability and Random Variables: Review and Notation	1
1.0	Purpose of the Chapter	1
1.1	Probability Spaces	1
1.2	Random Variables	2
Ch. 2	Introduction to Random Processes	13
2.0	Origins of Random Processes in Electronic Systems	13
2.1	Examples of Random Processes	14
2.2	Definitions and Basic Concepts	18
2.3	Mean, Autocorrelation, and Autocovariance	29
2.4	Stationary Random Processes	38
2.5	Crosscorrelation and Crosscovariance Functions	45
2.6	White Noise	48
2.7	Stationary Gaussian Random Processes	49
Ch. 3	Linear Filtering of Random Processes	54
3.0	The Need for Filtering of Random Processes	54
3.1	Discrete- and Continuous- Time Linear Systems	55
3.2	Linear Operations on Random Processes	59
3.3	Time-Domain Analysis of Second-Order Random Processes in Linear Systems	62
3.4	Gaussian Random Processes in Linear Systems	85
3.5	Determination of Correlation Functions	95
3.6	Applications	101
Ch. 4	Frequency-Domain Analysis of Random Processes in Linear Systems	112
4.0	The Use of Fourier Transform Techniques	112
	More...

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