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