Signal processing with alpha-stable distributions and applications

Author(s)

Bibliographic Information

Signal processing with alpha-stable distributions and applications

Chrysostomos L. Nikias, Min Shao

(Adaptive and learning systems for signal processing, communications, and control)

John Wiley & Sons, c1995

Available at  / 10 libraries

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"A Wiley-Interscience publication."

Includes bibliographical references (p. 159-165) and index

Description and Table of Contents

Description

Presenting a survey of the statistical properties, methods and applications of symmetrical alpha-stable distributions, this study emphasizes the practical rather than the theoretical aspects of signal processing. Major topics covered in this resource include statistical methods in signal processing (including both the Gaussian and alpha-stable models), stable distribution, fractional lower-order moments and methods for estimating the parameters of a stable distribution from sample data.

Table of Contents

  • The Stable Distribution
  • Symmetric Stable Random Processes
  • Covariation and Conditional Expectation
  • Parameter Estimates for Symmetric Stable Distributions
  • Estimation of Covariations
  • Parametric Models of Stable Processes
  • Linear Theory of Stable Processes
  • Symmetric Stable Models for Impulsive Noise
  • Signal Detection in Stable Noise
  • Current and Future Trends in Signal Processing with Alpha-Stable Distributions.

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