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. Random fluctuations are inherent in all electronic circuits, and communication signals are nondeterministic from a receiver perspective. Accordingly, the optimization of electronic circuits and communication systems requires techniques for characterizing random signals. Foremost among these is the power spectral density. Principles of Random Signal Analysis and Low Noise Design presents, from a thorough signal theory basis, a comprehensive and straightforward account of the power spectral density and its applications Content: Principles of Random Signal Analysis and Low Noise Design Contents Preface About the Author 1. Introduction 2. Background: Signal and System Theory 3. The Power Spectral Density 4. Power Spectral Density Analysis 5. Power Spectral Density of Standard Random Processes--Part 1 6. Power Spectral Density of Standard Random Processes--Part 2 7. Memoryless Transformations of Random Processes 8. Linear System Theory 9. Principles of Low Noise Electronic Design Notation References Index.