DocumentCode :
945341
Title :
Interpolatory frames in signal space
Author :
Averbuch, Amir Z. ; Zheludev, Valery A. ; Cohen, Tamir
Author_Institution :
Sch. of Comput. Sci., Tel Aviv Univ., Israel
Volume :
54
Issue :
6
fYear :
2006
fDate :
6/1/2006 12:00:00 AM
Firstpage :
2126
Lastpage :
2139
Abstract :
We present a new family of frames, which are generated by perfect reconstruction filter banks of linear phased filters. The filter banks are based on discrete interpolatory splines and are related to Butterworth filters. Each filter bank contains one interpolatory symmetric low-pass filter and two high-pass filters, one of which is also interpolatory and symmetric. The second high-pass filter is either symmetric or antisymmetric. These filter banks generate the analysis and synthesis scaling functions and pairs of framelets. We introduce the concept of semitight frame. All the analysis waveforms in a tight frame coincide with their synthesis counterparts. In the semitight frame, we can trade the number of vanishing moments between the synthesis and the analysis framelets. We construct dual pairs of frames, where all the waveforms are symmetric and all the framelets have the same number of vanishing moments. Although most of the designed filters are infinite-impulse response (IIR), they allow fast implementation via recursive procedures. The waveforms are well localized in time domain despite their infinite support. The frequency response of the designed filters is flat.
Keywords :
Butterworth filters; channel bank filters; high-pass filters; interpolation; low-pass filters; signal processing; splines (mathematics); Butterworth filters; IIR filters; analysis scaling functions; discrete interpolatory splines; framelets; frequency response; high-pass filters; interpolatory frames; linear phased filters; perfect reconstruction filter banks; semitight frame; signal processing; signal space; symmetric low-pass filter; synthesis scaling functions; Filter bank; Frequency response; Gabor filters; IIR filters; Image reconstruction; Interpolation; Low pass filters; Nonlinear filters; Signal design; Signal processing; Filter bank; frame; framelets; interpolation; signal;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2006.870562
Filename :
1634810
Link To Document :
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