Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10872
Title: Two-channel linear phase FIR QMF bank minimax design via global nonconvex optimization programming
Authors: Ho, CYF
Ling, BWK
Benmesbah, L
Kok, TCW
Siu, WC 
Teo, KL
Keywords: Filled function
global optimization
nonconvex optimization problem
two-channel linear phase FIR QMF bank minimax design
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on signal processing, 2010, v. 58, no. 8, 5454325, p. 4436-4441 How to cite?
Journal: IEEE transactions on signal processing 
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.
URI: http://hdl.handle.net/10397/10872
ISSN: 1053-587X
EISSN: 1941-0476
DOI: 10.1109/TSP.2010.2049107
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