DocumentCode
1496911
Title
Design of Two-Band Critically Sampled Rational Rate Filter Banks With Multiple Regularity Orders and Associated Discrete Wavelet Transforms
Author
Si Tran Nguyen Nguyen ; Ng, Brian W.-H
Author_Institution
Sch. of Electr. & Electron. Eng., Univ. of Adelaide, Adelaide, SA, Australia
Volume
60
Issue
7
fYear
2012
fDate
7/1/2012 12:00:00 AM
Firstpage
3863
Lastpage
3868
Abstract
An approach for designing two-band rational rate critically sampled nonorthogonal filter banks with perfect reconstruction and multiple regularity orders is proposed. This approach relies on an updated result on the relationship between the filters in the filter bank to achieve all the desired properties. Filter responses are optimized to approximate ideal brick wall responses, subject to linear and nonlinear constraints derived from regularity and perfect reconstruction conditions, respectively. The obtained designs are approximately shift-invariant as a result of strong frequency selectivity and multiple regularity orders. Two methods for solving the nonconvex optimization design problem are presented and the results from the proposed approach are compared against existing designs in the literature.
Keywords
channel bank filters; concave programming; discrete wavelet transforms; associated discrete wavelet transforms; brick wall response; filter response optimization; linear constraints; multiple regularity order; nonconvex optimization design; nonlinear constraint; nonorthogonal filter banks; perfect reconstruction condition; two-band critically sampled rational rate filter banks design; Discrete wavelet transforms; Least squares approximation; Optimization; Signal processing; Vectors; Critically sampled filter bank; optimization; rational discrete wavelet; rational filter banks;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2012.2194711
Filename
6184359
Link To Document