Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480182
