In this paper WISDOW (wavelet-based image and signal de-noising via overlapping waves) is presented. It consists of a novel model for noise removal using wavelets. Its main peculiarity is the modelling of a noisy signal as composition of elementary atoms which behave as interfering waves in the wavelet domain. Signal recovery is then performed by means of the overlapping effects principle at each scale level. Early theoretical and experimental results show the great potential of the proposed model.
Wavelet based Signal De-noising via Simple Singularities Approximation / Bruni, Vittoria; Vitulano, D.. - In: SIGNAL PROCESSING. - ISSN 0165-1684. - STAMPA. - 86:(2006), pp. 859-876. [10.1016/j.sigpro.2005.06.017]
Wavelet based Signal De-noising via Simple Singularities Approximation
BRUNI, VITTORIA;VITULANO D.
2006
Abstract
In this paper WISDOW (wavelet-based image and signal de-noising via overlapping waves) is presented. It consists of a novel model for noise removal using wavelets. Its main peculiarity is the modelling of a noisy signal as composition of elementary atoms which behave as interfering waves in the wavelet domain. Signal recovery is then performed by means of the overlapping effects principle at each scale level. Early theoretical and experimental results show the great potential of the proposed model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
