Suppression of delta-sigma DAC quantisation noise by bandwidth adaptation
Proceedings of the 20th annual conference on Integrated circuits and systems design
Minimax design of IIR digital filters using iterative SOCP
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Minimax design of IIR digital filters using SDP relaxation technique
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Design of IIR digital filters based on eigenvalue problem
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Design of IIR eigenfilters in the frequency domain
IEEE Transactions on Signal Processing
IIR Approximation of FIR Filters Via Discrete-Time Vector Fitting
IEEE Transactions on Signal Processing
An improved Martinet/Parks algorithm for IIR design with unequalnumbers of poles and zeros
IEEE Transactions on Signal Processing
Multistage IIR filter design using convex stability domains defined by positive realness
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
The use of model reduction techniques for designing IIR filterswith linear phase in the passband
IEEE Transactions on Signal Processing
Weighted least-squares approximation of FIR by IIR digital filters
IEEE Transactions on Signal Processing
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This paper presents a new technique for designing IIR filters that have minimum deviation from equiripple response. The algorithm is also able to find transfer functions with unequal numerator and denominator orders, which are suitable for both digital and analog IIR sampled-data realizations. Elliptic filters are produced as a particular case, when equal numerator and denominator orders are specified. Pole-zero mapping is used for scalar update of optimization parameters, thereby reducing the algorithm complexity. Zeros are structurally allocated on the unit circumference for efficient stopband shaping. Moreover, filter stability is easily enforced by restricting the radii of the poles to be lower than 1. A Taylor series expansion is employed to determine the step size of the parameter updates. The proposed approach is based on evaluations of partial cost functions to avoid local minima, and hence increase the robustness and the convergence rate of the optimization process. Design examples are shown to illustrate the efficacy of the proposed design technique, compared to alternative design techniques.