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Efficient Design of Cosine-Modulated Filter Banks via Convex Optimization
This paper presents efficient approaches for designing cosine-modulated filter banks with linear phase prototype filter. First, we show that the design problem of the prototype filter being a spectral factor of 2 M th-band filter is a nonconvex optimization problem with low degree of nonconvexity. A...
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Published in: | IEEE transactions on signal processing 2009-03, Vol.57 (3), p.966-976 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper presents efficient approaches for designing cosine-modulated filter banks with linear phase prototype filter. First, we show that the design problem of the prototype filter being a spectral factor of 2 M th-band filter is a nonconvex optimization problem with low degree of nonconvexity. As a result, the nonconvex optimization problem can be cast into a semi-definite programming (SDP) problem by a convex relaxation technique. Then the reconstruction error is further minimized by an efficient iterative algorithm in which the closed-form expression is given in each iteration. Several examples are given to illustrate the effectiveness of the proposed method over the existing ones. |
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ISSN: | 1053-587X 1941-0476 |
DOI: | 10.1109/TSP.2008.2009268 |