DocumentCode :
1015986
Title :
Subband decomposition of signals with generalized sampling
Author :
Khansari, M.R.K. ; Leon-Garcia, Alberto
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume :
41
Issue :
12
fYear :
1993
fDate :
12/1/1993 12:00:00 AM
Firstpage :
3365
Lastpage :
3376
Abstract :
The authors generalize down and up-sampling operations by proposing block sampling. Perfect reconstruction conditions for two-band subband coding with block sampling are derived. By generalizing the sampling operation, new degrees of freedom are introduced and as a result, filter banks which were not previously possible become possible. Generalized down-sampler introduces different aliasing components than that of the traditional down-sampler. This can be used to ease some the requirements of the filter bank design problem. A constructive sampling method is proposed so that coprimeness of the transfer functions of the analysis filter banks is not only a necessary but also sufficient condition for perfect reconstruction. The results are extended to the case where the filter banks are linear periodically time-varying. The multichannel case is analyzed and the relation between unimodular matrices and perfect reconstruction filter banks is discussed
Keywords :
encoding; filtering and prediction theory; matrix algebra; signal processing; transfer functions; aliasing components; analysis filter banks; block sampling; down sampling; filter banks; generalized sampling; linear periodically time-varying filters; multichannel case; perfect reconstruction filter banks; sampling method; subband decomposition; sufficient condition; transfer functions; two-band subband coding; unimodular matrices; up-sampling; Filter bank; Image coding; Image reconstruction; Matrix decomposition; Multidimensional signal processing; Sampling methods; Signal analysis; Signal processing; Sufficient conditions; Transfer functions;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.258080
Filename :
258080
Link To Document :
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