Multiwavelet frames in signal space originated from Hermite splines

Averbuch Z. Averbuch*, Valery A. Zheludev, Tamir Cohen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

We present a method for construction of multiwavelet frames for manipulation of discrete signals. The frames are generated by three-channel perfect reconstruction oversampled multifilter banks. The design of the multifilter bankstarts from a pair of interpolatory multifilters. We derive these interpolatory multifilters from the cubic Hermite splines. We use the original preprocessing algorithms, which transform scalar signals into vector arrays that serve as inputs to the oversampled analysis multifilter banks. These preprocessing algorithms do not degrade the approximation accuracy of the transforms of the vectors by multifilter banks. The postprocessing algorithms convert the vector output of the synthesis multifilter banks into scalar signal. The discrete framelets, generated by the designed filter banks, are symmetric and have short support. The analysis framelets have four vanishing moments, whereas the synthesis framelets converge to Hermite splines supported on the interval [-1,1].

Original languageEnglish
Pages (from-to)797-808
Number of pages12
JournalIEEE Transactions on Signal Processing
Volume55
Issue number3
DOIs
StatePublished - Mar 2007

Keywords

  • Cubic Hermite splines
  • Multiwavelet frames
  • Three channels

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