Evaluation of noise removal in signals by LULU operators
| dc.contributor.author | Fabris-Rotelli, Inger Nicolette | |
| dc.contributor.author | Van Oldenmark, K. | |
| dc.contributor.author | Van Staden, Paul Jacobus | |
| dc.contributor.email | inger.fabris-rotelli@up.ac.za | en_US |
| 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 |