Digital filter design
Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme
Journal of Computational and Applied Mathematics - Special issue on nonlinear programming and variational inequalities
The design of arbitrary FIR digital filters using the eigenfiltermethod
IEEE Transactions on Signal Processing
Optimal design of FIR filters with the complex Chebyshev errorcriteria
IEEE Transactions on Signal Processing
Optimum Laguerre networks for a class of discrete-time systems
IEEE Transactions on Signal Processing
Peak-constrained least-squares optimization
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Constrained least square design of FIR filters without specifiedtransition bands
IEEE Transactions on Signal Processing
Broadband beamforming using Laguerre filters
Signal Processing
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The complex Chebyshev error criterion is usually used as a general constraint in design of peak constraint weighted least square error (PCWLSE) filters. It simply applies an upper bound on the maximum magnitude of error between the desired and designed transfer functions of the filter. It inherently confines the corresponding maximum phase error as well. However, it imposes an over restricted constraint on the problem which reduces the feasibility region of the filter design. Here a new and comprehensive class of constraints is proposed for the problem which provides a feasible region larger than that of the complex Chebyshev error constraint. Hence, the filter weights acquire larger space to search for better optimal values and consequently boost up the performance of the designed filter by achieving less weighted least square error (WLSE). Furthermore, the proposed constraints make no overlap or conflict between the desired magnitude, phase, and group delay bounds in design process. To achieve less computational complexity, the nonlinear constraints of the proposed approach have also been replaced with their equivalent linear approximations. Simulation results on the Laguerre and FIR filter structures show superiority of the proposed constraints over that of the complex Chebyshev error in achieving less WLSE.