DocumentCode
1116446
Title
Multiwavelet Frames in Signal Space Originated From Hermite Splines
Author
Averbuch, Amir Z. ; Zheludev, Valery A. ; Cohen, Tamir
Author_Institution
Sch. of Comput. Sci., Tel Aviv Univ.
Volume
55
Issue
3
fYear
2007
fDate
3/1/2007 12:00:00 AM
Firstpage
797
Lastpage
808
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]
Keywords
channel bank filters; signal reconstruction; signal sampling; splines (mathematics); wavelet transforms; cubic Hermite splines; discrete framelets; discrete signals manipulation; interpolatory multifilters; multiwavelet frames; oversampled multifilter banks; three-channel perfect reconstruction; vector arrays; Algorithm design and analysis; Data preprocessing; Discrete transforms; Filter bank; Image coding; Image reconstruction; Signal analysis; Signal processing; Signal synthesis; Wavelet analysis; Cubic Hermite splines; multiwavelet frames; three channels;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2006.887569
Filename
4099542
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