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

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John Wiley & Sons, Aug 18, 2004 - Technology & Engineering - 328 pages
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  • 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.
  

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Contents

1 Introduction
1
2 Background Signal and System Theory
3
3 The Power Spectral Density
59
4 Power Spectral Density Analysis
92
5 Power Spectral Density of Standard Random ProcessesPart 1
138
6 Power Spectral Density of Standard Random ProcessesPart 2
179
7 Memoryless Transformations of Random Processes
206
8 Linear System Theory
229
9 Principles of Low Noise Electronic Design
256
Notation
300
References
302
Index
307
Copyright

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Page 304 - ISBN 92-67-10188-9) 5 R. Silver, J. Potzick, J. Hu, "Metrology with the Ultraviolet Scanning Transmission Microscope," Proceedings of the SPIE Symposium on Microlithography, Vol. 2439-46, pp 437-445, Santa Clara, Calif. (1995). 6 J. Potzick, "Noise averaging and measurement resolution (or 'A little noise is a good thing')," Review of Scientific Instruments, vol.
Page 302 - Representation of Noise in Linear Twoports," Proceedings of the IRE, Vol. 48, January 1960, pp.
Page 302 - Proceedings of the 14th International Conference on Noise in Physical Systems and 1/f Fluctuations, Leuven, Belgium, Eds.
Page 305 - A Theory of 1/f current noise based on a random walk model' , Journal of Statistical Physics, 15, pp.
Page 304 - Papoulis, A. and Pillai, SU (2002). Probability, Random Variables, and Stochastic Processes, 4th ed.

About the author (2004)

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.

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