A noise estimation method for corrupted correlated data

被引：0
|
作者：
Luigi I. [1 ]
Luca R. [2 ]
Lara F. [1 ]
机构：
[1] Department of Quantitative Methods and Economic Theory, University G. d'Annunzio, Chieti, Pescara, 65127 Pescara
[2] ISTAT, Italian Institute of Statistics, U.R. Molise, 86100 Campobasso
来源：
Statistical Methods and Applications | 2005年 / 14卷 / 3期
关键词：
Filtering; Image analysis; Measurement noise estimation; Orthogonal decompositions; Time series;
D O I：
10.1007/s10260-005-0106-x
中图分类号：
学科分类号：
摘要：
Data acquisition, both in time and in spatial domains, in many cases yields observations with a measurement error. The identification of such a component, that masks the phenomenon under study (signal), must be carried out before the model of interest is specified. The objective of the paper is to propose an estimator for the parameters of an additive noise and compare it with existing methods by applications to both simulated and real data sets. © Springer-Verlag 2005.
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页码：343 / 356
页数：13
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