Roy M. Howard 
Principles of Random Signal Analysis and Low Noise Design 
The Power Spectral Density and its Applications

* 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.

Table of Content

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.

About the author

ROY M. HOWARD received his Ph D 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.