Shift-invariant B-spline wavelet transform for multi-scale analysis of neuroelectric signals

H. Olkkonen, Juuso T. Olkkonen

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)

Abstract

In wavelet theory the two-scale dilation equation has a central role. B-splines serve as good candidates for wavelet analysis, since they obey the two-scale dilation equation. This work describes the B-spline wavelet transform, which is based on the polyphase decomposition of the two-scale dilation equation. We construct a linear quadrature mirror filter (QMF) B-spline wavelet filter bank, which can be effectively implemented by the polyphase filters. The interpolating property of the two-scale dilation equation is applied for constructing the shift-invariant complex QMF B-spline wavelets. The validity of the B-spline wavelet transform is warranted in multi-scale analysis of neuroelectric signal waveforms.
Original languageEnglish
Pages (from-to)603-609
JournalIET Signal Processing
Volume4
Issue number6
DOIs
Publication statusPublished - 2010
MoE publication typeA1 Journal article-refereed

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Splines
Wavelet transforms
Digital filters
Wavelet analysis
Filter banks
Decomposition

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Olkkonen, H. ; Olkkonen, Juuso T. / Shift-invariant B-spline wavelet transform for multi-scale analysis of neuroelectric signals. In: IET Signal Processing. 2010 ; Vol. 4, No. 6. pp. 603-609.
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Shift-invariant B-spline wavelet transform for multi-scale analysis of neuroelectric signals. / Olkkonen, H.; Olkkonen, Juuso T.

In: IET Signal Processing, Vol. 4, No. 6, 2010, p. 603-609.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Olkkonen, Juuso T.

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