Evaluation of noise removal in signals by LULU operators

Fabris-Rotelli, Inger Nicolette; Van Oldenmark, K.; Van Staden, Paul Jacobus

dc.contributor.author	Fabris-Rotelli, Inger Nicolette
dc.contributor.author	Van Oldenmark, K.
dc.contributor.author	Van Staden, Paul Jacobus
dc.date.accessioned	2012-02-27T12:58:24Z
dc.date.available	2012-02-27T12:58:24Z
dc.date.issued	2010-11
dc.description.abstract	The LULU smoothers are effective nonlinear smoothers for signals. We investigate their ability to remove different noise types, namely symmetrical and skewed, as well as heavy- and light-tailed, thereby uncovering the true underlying signal. These smoothers prove very effective in removing noise originating from the same distribution as that noise which originally contaminated the signal.	en
dc.description.librarian	nf2012	en
dc.description.uri	http://www.sastat.org.za/journal.htm	en_US
dc.identifier.citation	Fabris-Rotelli, IN, Van Oldenmark, K & Van Staden, PJ 2010, 'Evaluation of noise removal in signals by LULU operators', South African Statistical Journal, no. 1, pp. 44-51.	en
dc.identifier.issn	0038-271X
dc.identifier.uri	http://hdl.handle.net/2263/18249
dc.language.iso	en	en_US
dc.publisher	South African Statistical Association	en_US
dc.rights	South African Statistical Association	en
dc.subject	LULU operators	en
dc.subject	Nonlinear smoothers for signals	en
dc.subject	Noise removal	en
dc.title	Evaluation of noise removal in signals by LULU operators	en
dc.type	Article	en