Digital filter design
Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
The design of FIR filters in the complex plane by convex optimization
Signal Processing
A multiple exchange algorithm for constrained design of FIR filters in the complex domain
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
Lowpass delay filters with flat magnitude and group delay constraints
IEEE Transactions on Signal Processing
A technique for multiple criterion approximation of FIR filters inmagnitude and group delay
IEEE Transactions on Signal Processing
Optimal design of FIR filters with the complex Chebyshev errorcriteria
IEEE Transactions on Signal Processing
Design of optimal minimum-phase digital FIR filters using discreteHilbert transforms
IEEE Transactions on Signal Processing
Design and characterization of optimal FIR filters with arbitraryphase
IEEE Transactions on Signal Processing
Peak-constrained least-squares optimization
IEEE Transactions on Signal Processing
Constrained least square design of FIR filters without specifiedtransition bands
IEEE Transactions on Signal Processing
Realization of reduced-delay finite impulse response filters for audio applications
Digital Signal Processing
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In this paper, a novel analytic technique is presented for the design of finite impulse response digital filters with simultaneous amplitude and phase requirements. The design process relies on the interpolation concept and is based on the generation of arbitrary amplitude and phase polynomials. The new class of FIR filters lays in between the exact linear phase filters at all frequencies and the minimum phase FIR filters based on the amplitude approximation only. It interpolates arbitrary (e.g., linear) phase response in the passband and arbitrary amplitude characteristics in pass- and stopbands. The introduced class of filters can be used on the amplitude and phase equalization of both FIR and IIR digital filters. Illustrative examples are included in order to investigate the main properties of these filters and to demonstrate that the proposed design method leads to a significant saving in the arithmetic computations.