Principles of Random Signal Analysis and Low NoiseDesign: The Power Spectral Density and its Applications
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- Wiley
More About This Title Principles of Random Signal Analysis and Low NoiseDesign: The Power Spectral Density and its Applications
English
- 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.
English
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.
English
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.
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.
