DocumentCode
1479181
Title
Two-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming
Author
Ho, Charlotte Yuk-Fan ; Ling, BingoWing-Kuen ; Benmesbah, Lamia ; Kok, Ted Chi-Wah ; Siu, Wan-chi ; Teo, Kok-Lay
Author_Institution
Sch. of Math. Sci., Queen Mary, Univ. of London, London, UK
Volume
58
Issue
8
fYear
2010
Firstpage
4436
Lastpage
4441
Abstract
In this correspondence, a two-channel linear phase finite-impulse-response (FIR) quadrature mirror filter (QMF) bank minimax design problem is formulated as a nonconvex optimization problem so that a weighted sum of the maximum amplitude distortion of the filter bank, the maximum passband ripple magnitude and the maximum stopband ripple magnitude of the prototype filter is minimized subject to specifications on these performances. A modified filled function method is proposed for finding the global minimum of the nonconvex optimization problem. Computer numerical simulations show that our proposed design method is efficient and effective.
Keywords
FIR filters; concave programming; minimax techniques; numerical analysis; quadrature mirror filters; amplitude distortion; global nonconvex optimization programming; numerical simulations; quadrature mirror filter bank; two-channel linear phase FIR QMF bank minimax design; Filled function; global optimization; nonconvex optimization problem; two-channel linear phase FIR QMF bank minimax design;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2010.2049107
Filename
5454325
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