Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design

In this chapter, 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,...

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Main Authors: Ling, Bingo, Ho, Charlotte, Teo, Kok Lay
Other Authors: A. Chatterjee et al
Format: Book Chapter
Published: Springer-Verlag 2013
Online Access:http://hdl.handle.net/20.500.11937/3901
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author Ling, Bingo
Ho, Charlotte
Teo, Kok Lay
author2 A. Chatterjee et al
author_facet A. Chatterjee et al
Ling, Bingo
Ho, Charlotte
Teo, Kok Lay
author_sort Ling, Bingo
building Curtin Institutional Repository
collection Online Access
description In this chapter, 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 joint norm relaxed sequential quadratic programming and 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.
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institution Curtin University Malaysia
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publishDate 2013
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spelling curtin-20.500.11937-39012017-09-13T14:32:14Z Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design Ling, Bingo Ho, Charlotte Teo, Kok Lay A. Chatterjee et al In this chapter, 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 joint norm relaxed sequential quadratic programming and 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. 2013 Book Chapter http://hdl.handle.net/20.500.11937/3901 10.1007/978-3-642-37880-5_1 Springer-Verlag restricted
spellingShingle Ling, Bingo
Ho, Charlotte
Teo, Kok Lay
Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design
title Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design
title_full Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design
title_fullStr Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design
title_full_unstemmed Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design
title_short Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design
title_sort nonconvex optimization via joint norm relaxed sqp and filled function method with application to minimax two-channel linear phase fir qmf bank design
url http://hdl.handle.net/20.500.11937/3901