Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
J.L. Rasmussen , Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
D.M. Etter , Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
An adaptive convex filter (ACF) consists of a parallel bank of three fixed second-order filters. The output of each fixed filter is multiplied by a constrained weight. The fixed filters are chosen such that the ACF will always be minimum phase. Higher order filters are implemented by cascading ACF stages but this cascaded system does not have a quadratic error surface when updated using traditional algorithms. We present an algorithm that has a quadratic error surface for the ACF and converges to the global minimum.<
adaptive filters, adaptive signal processing, filtering theory, convergence of numerical methods, band-pass filters, iterative methods, cascade networks
J. Rasmussen and D. Etter, "An iterative quadratic technique for designing minimum phase filters," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 309-313.