The Worst-Case DFT Filter Bank Design with Sub-channel Variations
In this paper, we consider an optimal design of a DFT filter bank subject to subchannel variation constraints. The design problem is formulated as a minimax optimization problem. By exploiting the properties of this minimax optimization problem, we show that it is equivalent to a semi-infinite optim...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Book Chapter |
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Springer
2015
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| Online Access: | http://link.springer.com/chapter/10.1007/978-3-662-47044-2_10#page-1 http://hdl.handle.net/20.500.11937/36573 |
| _version_ | 1848754807629676544 |
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| author | Jiang, L. Wu, Changzhi Wang, Xiangyu Teo, Kok Lay |
| author2 | Honglei Xu |
| author_facet | Honglei Xu Jiang, L. Wu, Changzhi Wang, Xiangyu Teo, Kok Lay |
| author_sort | Jiang, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we consider an optimal design of a DFT filter bank subject to subchannel variation constraints. The design problem is formulated as a minimax optimization problem. By exploiting the properties of this minimax optimization problem, we show that it is equivalent to a semi-infinite optimization problem in which the continuous inequality constraints are only with respect to frequency. Then, a computational scheme is developed to solve such a semi-infinite optimization problem. Simulation results show that, for a fixed distortion level, the aliasing level between different subbands is significantly reduced, in some cases up to 28 dB, when compared with that obtained by the bi-iterative optimization method without consideration of the subchannel variations. |
| first_indexed | 2025-11-14T08:46:17Z |
| format | Book Chapter |
| id | curtin-20.500.11937-36573 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:46:17Z |
| publishDate | 2015 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-365732023-02-27T07:34:28Z The Worst-Case DFT Filter Bank Design with Sub-channel Variations Jiang, L. Wu, Changzhi Wang, Xiangyu Teo, Kok Lay Honglei Xu Song Wang Soon-Yi Wu In this paper, we consider an optimal design of a DFT filter bank subject to subchannel variation constraints. The design problem is formulated as a minimax optimization problem. By exploiting the properties of this minimax optimization problem, we show that it is equivalent to a semi-infinite optimization problem in which the continuous inequality constraints are only with respect to frequency. Then, a computational scheme is developed to solve such a semi-infinite optimization problem. Simulation results show that, for a fixed distortion level, the aliasing level between different subbands is significantly reduced, in some cases up to 28 dB, when compared with that obtained by the bi-iterative optimization method without consideration of the subchannel variations. 2015 Book Chapter http://hdl.handle.net/20.500.11937/36573 http://link.springer.com/chapter/10.1007/978-3-662-47044-2_10#page-1 Springer restricted |
| spellingShingle | Jiang, L. Wu, Changzhi Wang, Xiangyu Teo, Kok Lay The Worst-Case DFT Filter Bank Design with Sub-channel Variations |
| title | The Worst-Case DFT Filter Bank Design with Sub-channel Variations |
| title_full | The Worst-Case DFT Filter Bank Design with Sub-channel Variations |
| title_fullStr | The Worst-Case DFT Filter Bank Design with Sub-channel Variations |
| title_full_unstemmed | The Worst-Case DFT Filter Bank Design with Sub-channel Variations |
| title_short | The Worst-Case DFT Filter Bank Design with Sub-channel Variations |
| title_sort | worst-case dft filter bank design with sub-channel variations |
| url | http://link.springer.com/chapter/10.1007/978-3-662-47044-2_10#page-1 http://hdl.handle.net/20.500.11937/36573 |