Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and its Applications

by Roy M. Howard

Overview

• Describes the leading techniques for analyzing noise.
• Discusses methods that are applicable to periodic signals, aperiodic signals, or random processes over finite or infinite intervals.
• Provides readers with a useful reference when designing or modeling communications systems.

Product Details

ISBN-13:	9780471226178
Publisher:	Wiley
Publication date:	08/08/2002
Series:	IEEE Press
Pages:	328
Product dimensions:	6.30(w) x 9.55(h) x 0.82(d)

About the Author

ROY M. HOWARD received his PhD from the University of Western Australia and is a senior lecturer in the School of Electrical and Computer Engineering at Curtin University of Technology, Perth, Australia. His research interests include low noise amplifier design, stochastic modeling, l/f noise, nonlinear systems, and nonlinear electronics. He has published several papers relevant to the material in the book.

Table of Contents

Preface.

About the Author.

Introduction.

Background: Signal and System Theory.

The Power Spectral Density.

Power Spectral Density Analysis.

Power Spectral Density of Standard Random Processes--Part 1.

Power Spectral Density of Standard Random Processes--Part 2.

Memoryless Transformations of Random Processes.

Linear System Theory.

Principles of Low Noise Electronic Design.

Notation.

References.

Index.

Editorial Reviews

This graduate textbook defines the power spectral density using results directly from Fourier theory, and presents applications in communications and electronics. The Australian author details memoryless transformations of random processes, the relationship between the input and output of a linear time invariant system, and the minimization of noise in a linear electronic system. Annotation c. Book News, Inc., Portland, OR