This aim of the present work is to provide a simple and reliable mathematical method in order to evaluate the sharpness parameter of a Generalized Gaussian pdf model, as a function of an higher order statistic, namely the normalized kurtosis. Well known detection and estimation algorithms in non-Gaussian noise are based on the accurate modelling of the distribution function of the noise, made on the basis of the higher-order-statistics (HOS) parameters estimated from the incoming data. An application of the proposed evaluation to the multilevel signal estimation in non-Gaussian impulsive noise is then considered.
Higher Order Statistics Based Sharpness Evaluation of a Generalized Gaussian pdf Model in Impulsive Noisy Environment
Sacchi, Claudio;
1998-01-01
Abstract
This aim of the present work is to provide a simple and reliable mathematical method in order to evaluate the sharpness parameter of a Generalized Gaussian pdf model, as a function of an higher order statistic, namely the normalized kurtosis. Well known detection and estimation algorithms in non-Gaussian noise are based on the accurate modelling of the distribution function of the noise, made on the basis of the higher-order-statistics (HOS) parameters estimated from the incoming data. An application of the proposed evaluation to the multilevel signal estimation in non-Gaussian impulsive noise is then considered.File in questo prodotto:
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