Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52417
Title: Comparing wavelets estimators for a set of signals
Authors: Luengo-Merino, I.
Hernández-Flores, C. N. 
Saavedra-Santana, Pedro 
UNESCO Clasification: 120903 Análisis de datos
240401 Bioestadística
Keywords: Random effect model
Thresholding
Wavelet transformation
Issue Date: 2006
Journal: AIP Conference Proceedings 
Abstract: On each object belonging to a certain population, a signal can be observed. We suppose that those signals come from an additive random effect model involving a population pattern, individual effect and intra-individual noise. The main purpose of this paper is to estimate the underlying pattern from a set of signals observed on a random sample of objects of the population at the same time points. If the number of observations per object is a dyadic number, several estimations of the population pattern are proposed using the wavelet transforms. A simulation study is carried out using the four test functions given by Donoho and Johnstone (1994) as patterns, considering two types of individual components and white and correlated noise. The goodness of fit is analysed for the aforementioned four signal types. A threshold obtained by successive iterations, proposed by Baxter and Upton (2002), is also analysed.
URI: http://hdl.handle.net/10553/52417
ISBN: 978-0-7354-0356-7
ISSN: 0094-243X
DOI: 10.1063/1.2361235
Source: AIP Conference Proceedings [ISSN 0094-243X], v. 860, p. 331-335
Appears in Collections:Actas de congresos
Show full item record

Page view(s)

32
checked on May 8, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.