Two-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming
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 mag...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
IEEE Signal Processing Society
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/3602 |
| _version_ | 1848744276171685888 |
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| author | Ho, C. Ling, W. Benmesbah, L. Kok, T. Teo, Kok Lay |
| author_facet | Ho, C. Ling, W. Benmesbah, L. Kok, T. Teo, Kok Lay |
| author_sort | Ho, C. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T05:58:53Z |
| format | Journal Article |
| id | curtin-20.500.11937-3602 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:58:53Z |
| publishDate | 2010 |
| publisher | IEEE Signal Processing Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-36022017-09-13T16:01:43Z Two-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming Ho, C. Ling, W. Benmesbah, L. Kok, T. Teo, Kok Lay nonconvex optimization problem two-channel linear phase FIR QMF bank minimax design global optimization Filled function 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. 2010 Journal Article http://hdl.handle.net/20.500.11937/3602 10.1109/TSP.2010.2049107 IEEE Signal Processing Society fulltext |
| spellingShingle | nonconvex optimization problem two-channel linear phase FIR QMF bank minimax design global optimization Filled function Ho, C. Ling, W. Benmesbah, L. Kok, T. Teo, Kok Lay Two-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming |
| title | Two-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming |
| title_full | Two-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming |
| title_fullStr | Two-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming |
| title_full_unstemmed | Two-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming |
| title_short | Two-Channel Linear Phase FIR QMF Bank Minimax Design via Global Nonconvex Optimization Programming |
| title_sort | two-channel linear phase fir qmf bank minimax design via global nonconvex optimization programming |
| topic | nonconvex optimization problem two-channel linear phase FIR QMF bank minimax design global optimization Filled function |
| url | http://hdl.handle.net/20.500.11937/3602 |