Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and its Applications (IEEE Press) - Hardcover

Howard, Roy M.

 
9780471226178: Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and its Applications (IEEE Press)
Hardcover
ISBN 10: 0471226173 ISBN 13: 9780471226178
Publisher: Wiley-IEEE Press, 2002

Synopsis

  • 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.

"synopsis" may belong to another edition of this title.

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.

From the Back Cover

Randomness in communication and low noise electronic design-a thorough and accessible account

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. The author:
* Details the power spectral density of the significant random signal forms
* Illustrates theory with examples from communications and electronic circuit design
* Presents a unified account for the power spectral density which encompasses periodic signals, aperiodic signals, and random processes, over finite and infinite intervals

Howard's systematic approach, his systematic account of the power spectral density, his coverage of the significant random signal forms, and his account of low noise design make this an important reference for researchers, for students of electrical and electronic engineering, and for engineers involved in the design or modeling of communications systems or solid state circuitry.

From the Inside Flap

Randomness in communication and low noise electronic design-a thorough and accessible account

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. The author:
* Details the power spectral density of the significant random signal forms
* Illustrates theory with examples from communications and electronic circuit design
* Presents a unified account for the power spectral density which encompasses periodic signals, aperiodic signals, and random processes, over finite and infinite intervals

Howard's systematic approach, his systematic account of the power spectral density, his coverage of the significant random signal forms, and his account of low noise design make this an important reference for researchers, for students of electrical and electronic engineering, and for engineers involved in the design or modeling of communications systems or solid state circuitry.

"About this title" may belong to another edition of this title.

Publisher
Wiley-IEEE Press
Publication date
2002
Language
English
ISBN 10 
0471226173
ISBN 13 
9780471226178
Binding
Hardcover
Edition number
1
Number of pages
328