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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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Bibliographic Details
Published in:IEEE transactions on signal processing 2009-03, Vol.57 (3), p.966-976
Main Authors: Ha Hoang Kha, Hoang Duong Tuan, Nguyen, T.Q.
Format: Article
Language:English
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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.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2008.2009268