Fast estimation of the parameters of alpha-stable impulsive interference using asymptotic extreme value theory

Author

Tsihrintzis, George A. ; Nikias, Chrysostomos L.

Author_Institution

Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA

Volume

3

fYear

1995

fDate

9-12 May 1995

Firstpage

1840

Abstract

We address the problem of estimation of the parameters of the symmetric, alpha-stable model for impulsive interference. We propose new estimators based on asymptotic extreme value theory, order statistics, and fractional lower-order moments, which can be computed fast and are, therefore, suitable for the design of real-time signal processing algorithms. The performance of the new estimators is evaluated theoretically and via Monte-Carlo simulation

Keywords

interference (signal); parameter estimation; random processes; signal processing; stability; statistical analysis; Monte-Carlo simulation; alpha-stable impulsive interference; alpha-stable model; asymptotic extreme value theory; fractional lower-order moments; impulsive noise; order statistics; parameter estimation; performance evaluation; random variables; real-time signal processing algorithms; Algorithm design and analysis; Estimation theory; Interference; Parameter estimation; Random variables; Signal design; Signal processing; Signal processing algorithms; State estimation; Statistical distributions;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480182

Filename

480182