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- W2187917468 abstract "In this paper, a new nonlinear filtering technique is introduced for the elimination of impulsive noise modelled with a Symmetric aStable (SaS) distribution. The new algorithm, called polynomial iteratively reweighted least squares (PIRLS), employs a Volterra filter the coefficients of which are estimated by minimizing the 1,-norm of the estimation error. The filter, hence constructed, is used to estimate the clean data from the corrupted data. Simulation results obtained for audio data corrupted by synthetic SaS noise indicate that PIRLS is very successful in removing impulsive noise." @default.
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- W2187917468 date "1996-01-01" @default.
- W2187917468 modified "2023-09-27" @default.
- W2187917468 title "Impulsive Noise Si" @default.
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