Higher-order-statistics-based sharpness evaluation of a generalized Gaussian PDF model in impulsive noisy environments

Author

Regazzoni, Carlo S. ; Sacchi, Claudio ; Teschioni, A. ; Giulini, Saverio

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

fYear

1998

fDate

14-16 Sep 1998

Firstpage

411

Lastpage

414

Abstract

The 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 a 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 multilevel signal estimation in non-Gaussian impulsive noise is then considered

Keywords

Gaussian noise; higher order statistics; impulse noise; parameter estimation; signal detection; HOS; PDF model; detection; generalized Gaussian model; higher order statistics; impulsive noisy environments; multilevel signal estimation; non-Gaussian impulsive noise; normalized kurtosis; parameter estimation; sharpness evaluation; Art; Electronic mail; Estimation; Gaussian noise; Higher order statistics; Mathematical model; Mathematics; Probability density function; Random variables; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1998. Proceedings., Ninth IEEE SP Workshop on

Conference_Location

Portland, OR

Print_ISBN

0-7803-5010-3

Type

conf

DOI

10.1109/SSAP.1998.739422

Filename

739422