The USC Andrew and Erna Viterbi School of Engineering USC Signal and Image Processing Institute USC Ming Hsieh Department of Electrical Engineering University of Southern California

Technical Report USC-SIPI-270

“Fast Estimation of the Parameters of Alpha-Stable Impulsive Interference”

by George A. Tsihrintzis and Chrysostomos L. Nikias

September 1994

We address the problem of estimation of the parameters of the recently proposed 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 theoretically evaluated, verified via Monte-Carlo simulation, and compared to the performance of maximum likelihood estimators.

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