Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30087
Title: The dual parameterization approach to optimal least square FIR filter design subject to maximum error constraints
Authors: Dam, HH
Teo, KL
Nordebo, S
Cantoni, A
Issue Date: 2000
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on signal processing, 2000, v. 48, no. 8, p. 2314-2320 How to cite?
Journal: IEEE transactions on signal processing 
Abstract: This paper is concerned with the design of linear-phase finite impulse response (FIR) digital filters for which the weighted least square error is minimized, subject to maximum error constraints. The design problem is formulated as a semi-infinite quadratic optimization problem. Using a newly developed dual parameterization method in conjunction with the Caratheodory's dimensional theorem, an equivalent dual finite dimensional optimization problem is obtained. The connection between the primal and the dual problems is established. A computational procedure is devised for solving the dual finite dimensional optimization problem. The optimal solution to the primal problem can then be readily obtained from the dual optimal solution. For illustration, examples are solved using the proposed computational procedure
URI: http://hdl.handle.net/10397/30087
ISSN: 1053-587X
EISSN: 1941-0476
DOI: 10.1109/78.852012
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