Design of narrowband frequency sampling FIR filters using Z-window
Signal Processing - Special section: Distributed source coding
A unified framework for designing FIR filters with arbitrary magnitude and phase response
Digital Signal Processing
Computational Optimization and Applications
A New Exchange Method for Convex Semi-Infinite Programming
SIAM Journal on Optimization
A new exact penalty method for semi-infinite programming problems
Journal of Computational and Applied Mathematics
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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