• ISBN13: 9780471106470
• Binding: Hardcover
• Subject: Computer Science and Information Technology
• Publisher: Wiley
• Publisher Imprint: Wiley
• Publication Date: January 1, 1995
• Pages: 182
• Original Price: USD 99.95
• Language: English
• Edition: N/A
• Item Weight: 431 grams
• BISAC Subject(s): Telecommunications

The recent explosion in the speed and power of computers has now made available the much more accurate, non-Gaussian models in signal processing algorithms. This book offers, for the first time, a full and lucid introduction to a very useful type of these non-Gaussian models, namely those specified by alpha-stable distributions.

Signal Processing with Alpha-Stable Distributions and Applications presents a long-awaited survey of the statistical properties, methods, and applications of symmetrical alpha-stable distributions. Its emphasis on practical rather than theoretical aspects will appeal to both researchers and practicing engineers in signal processing. Major topics covered in this comprehensive resource include:

• Statistical methods in signal processing, including both the Gaussian and alpha-stable models
• The stable distribution, its characterization and statistical properties
• Fractional lower-order moments
• Covariation and statistical conditional expectation of symmetric alpha-stable random variables
• Methods for estimating the parameters of a stable distribution from sample data
• Three conventional methods for estimating covariations: fractional lower-order moment estimator, the screened ratio estimator, and the least-squares estimator
• Methods for estimating MA, AR, and ARMA model parameters
• Methods for modeling impulsive signals
• Designing and implementing optimum and suboptimum signal detectors in the presence of impulsive noise
• Overview of current applications and future research trends of alpha-stable distributions for signal processing problems