THE SIMULTANEOUS APPROXIMATION OF MAGNITUDE AND PHASE BY FIR DIGITAL FILTERS. I: A NEW APPROACH

DOI<link itemprop=identifier href="https://doi.org/10.1002/(SICI)1097-007X(199705/06)25:3<167::AID-CTA960>3.0.CO;2-Y" /><167::AID-CTA960>3.0.CO;2-Y 10.1002/(SICI)1097-007X(199705/06)25:3<167::AID-CTA960>3.0.CO;2-YzbMath0909.94005OpenAlexW2064765881MaRDI QIDQ4367109

Rembert Reemtsen, Alexander W. Potchinkov

Publication date: 17 December 1997

Full work available at URL: https://doi.org/10.1002/(sici)1097-007x(199705/06)25:3<167::aid-cta960>3.0.co;2-y

zbMATH Keywords

phasesimultaneous approximationChebyshev problemmagnitudeconvex semi-infinite programmingFIR digital filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Semi-infinite programming (90C34) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Lagrange Duality and Saddle Point Optimality Conditions for Multiobjective Semi-Infinite Programming with Vanishing Constraints ⋮ FIR filter design problems of simultaneous approximation of magnitude and phase and magnitude and group delay ⋮ Relaxed cutting plane method with convexification for solving nonlinear semi-infinite programming problems

Cites Work

• The design of FIR filters in the complex plane by convex optimization
• Design and characterization of optimal FIR filters with arbitrary phase
• Design of selective lowpass sampled‐data and digital filters exhibiting equiripple amplitude and phase error characteristics

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