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Design of nonlinear phase FIR digital filters using quadratic programming

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1 Author(s)
Lang, M.C. ; Dept. of Commun. & Radio-Freq. Eng., Wien Univ., Austria

This paper presents two methods for the design of FIR filters with arbitrary magnitude and phase responses according to a weighted mean squared error criterion with constraints on the resulting magnitude and phase errors. This constrained least square criterion allows for an arbitrary trade-off between pure L2 filters and Chebyshev filters. The resulting nonlinear optimization problem is either converted into a standard quadratic programming problem (method 1) or exactly solved by a sequence of quadratic programs (method 2). The quadratic programming problems can be solved efficiently using standard software

Published in:

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on  (Volume:3 )

Date of Conference:

21-24 Apr 1997