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.
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© 2011 Springer-Verlag Berlin Heidelberg
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Pigoli, D., Sangalli, L.M. (2011). Wavelets Smoothing for Multidimensional Curves. In: Ferraty, F. (eds) Recent Advances in Functional Data Analysis and Related Topics. Contributions to Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2736-1_40
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DOI: https://doi.org/10.1007/978-3-7908-2736-1_40
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Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-2735-4
Online ISBN: 978-3-7908-2736-1
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