We describe a wavelet-based method that provides accurate estimates of curves in more than one dimension and of their derivatives. The method is particularly attractive when the curves to be estimated have a varying smoothness and present strongly localized features. The proposed multidimensional wavelet estimation technique is thus applied to multi-lead electrocardiogram records, where strongly localized features are indeed expected.

Wavelets smoothing for multidimensional curves

PIGOLI, DAVIDE;SANGALLI, LAURA MARIA
2011-01-01

Abstract

We describe a wavelet-based method that provides accurate estimates of curves in more than one dimension and of their derivatives. The method is particularly attractive when the curves to be estimated have a varying smoothness and present strongly localized features. The proposed multidimensional wavelet estimation technique is thus applied to multi-lead electrocardiogram records, where strongly localized features are indeed expected.
2011
Recent Advances in Functional Data Analysis and Related Topics
9783790827354
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/598281
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