Gamma Splines and Wavelets

In this work we introduce a new family of splines termed as gamma splines for continuous signal approximation and multiresolution analysis. The gamma splines are born by -times convolution of the exponential by itself. We study the properties of the discrete gamma splines in signal interpolation a...

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Main Authors: Hannu Olkkonen, Juuso T. Olkkonen
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Engineering
Online Access:http://dx.doi.org/10.1155/2013/625364
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author Hannu Olkkonen
Juuso T. Olkkonen
author_facet Hannu Olkkonen
Juuso T. Olkkonen
author_sort Hannu Olkkonen
collection DOAJ
description In this work we introduce a new family of splines termed as gamma splines for continuous signal approximation and multiresolution analysis. The gamma splines are born by -times convolution of the exponential by itself. We study the properties of the discrete gamma splines in signal interpolation and approximation. We prove that the gamma splines obey the two-scale equation based on the polyphase decomposition. to introduce the shift invariant gamma spline wavelet transform for tree structured subscale analysis of asymmetric signal waveforms and for systems with asymmetric impulse response. Especially we consider the applications in biomedical signal analysis (EEG, ECG, and EMG). Finally, we discuss the suitability of the gamma spline signal processing in embedded VLSI environment.
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spelling doaj-art-d3414392798f43abbb6a3f14a57714d02025-02-03T05:46:45ZengWileyJournal of Engineering2314-49042314-49122013-01-01201310.1155/2013/625364625364Gamma Splines and WaveletsHannu Olkkonen0Juuso T. Olkkonen1Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, FinlandVTT Technical Research Centre of Finland, 02044 Espoo, FinlandIn this work we introduce a new family of splines termed as gamma splines for continuous signal approximation and multiresolution analysis. The gamma splines are born by -times convolution of the exponential by itself. We study the properties of the discrete gamma splines in signal interpolation and approximation. We prove that the gamma splines obey the two-scale equation based on the polyphase decomposition. to introduce the shift invariant gamma spline wavelet transform for tree structured subscale analysis of asymmetric signal waveforms and for systems with asymmetric impulse response. Especially we consider the applications in biomedical signal analysis (EEG, ECG, and EMG). Finally, we discuss the suitability of the gamma spline signal processing in embedded VLSI environment.http://dx.doi.org/10.1155/2013/625364
spellingShingle Hannu Olkkonen
Juuso T. Olkkonen
Gamma Splines and Wavelets
Journal of Engineering
title Gamma Splines and Wavelets
title_full Gamma Splines and Wavelets
title_fullStr Gamma Splines and Wavelets
title_full_unstemmed Gamma Splines and Wavelets
title_short Gamma Splines and Wavelets
title_sort gamma splines and wavelets
url http://dx.doi.org/10.1155/2013/625364
work_keys_str_mv AT hannuolkkonen gammasplinesandwavelets
AT juusotolkkonen gammasplinesandwavelets