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

Front Cover
John Wiley & Sons, Aug 18, 2004 - Technology & Engineering - 328 pages
1 Review
  • 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.

What people are saying - Write a review

We haven't found any reviews in the usual places.


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 ProcessesPart 1
6 Power Spectral Density of Standard Random ProcessesPart 2
7 Memoryless Transformations of Random Processes
8 Linear System Theory
9 Principles of Low Noise Electronic Design

Other editions - View all

Common terms and phrases

Popular passages

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.

Bibliographic information