Title
Design of Practically Perfect-Reconstruction Cosine-Modulated Filter Banks: A Second-Order Cone Programming Approach
Abstract
Designing optimal perfect-reconstruction (PR) and near PR (NPR) cosine-modulated filter banks is essentially a constrained nonlinear minimization problem. This paper proposes two second-order cone-programming based algorithms for designing NPR and practically PR cosine-modulated filter banks with improved performance relative to several established design methods.
Year
DOI
Venue
2004
10.1109/TCSI.2003.822555
IEEE Transactions on Circuits and Systems I: Regular Papers
Keywords
Field
DocType
Channel bank filters,Filter bank,Algorithm design and analysis,Design optimization,Signal processing algorithms,Constraint optimization,Design methodology,Biomedical signal processing,Digital filters,Time domain analysis
Second-order cone programming,Digital filter,Root-raised-cosine filter,Control theory,Prototype filter,Network synthesis filters,Filter bank,Electronic engineering,Adaptive filter,Mathematics,Filter design
Journal
Volume
Issue
ISSN
51
3
1549-8328
Citations 
PageRank 
References 
26
1.18
20
Authors
3
Name
Order
Citations
PageRank
Wu-Sheng Lu129624.90
Tapio Saramaki220628.51
Robert Bregovic314818.84