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dc.contributor.authorJiang, L.
dc.contributor.authorWu, Changzhi
dc.contributor.authorWang, Xiangyu
dc.contributor.authorTeo, Kok Lay
dc.contributor.editorHonglei Xu, Song Wang, Soon-Yi Wu
dc.identifier.citationJiang, L. and Wu, C. and Wang, X. and Teo, K. 2015. The Worst-Case DFT Filter Bank Design with Sub-channel Variations, in Xu, H. and Wang, S. and Wu, S. (ed), Optimization Methods, Theory and Applications, pp. 183-205. London, Springer.

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.

dc.titleThe Worst-Case DFT Filter Bank Design with Sub-channel Variations
dc.typeBook Chapter
dcterms.source.titleOptimization Methods, Theory and Applications
dcterms.source.seriesOptimization Methods, Theory and Applications
dcterms.source.conferenceThe 9th International Conference on Optimization: Techniques and Applications (ICOTA9)
dcterms.source.conference-start-dateDec 12 2013
dcterms.source.conferencelocationTai pei, Taiwan
dcterms.source.placeVerlag Berlin Heidelberg
curtin.departmentDepartment of Construction Management
curtin.accessStatusFulltext not available

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