Design of nonlinear phase FIR digital filters using quadratic programming
نویسنده
چکیده
This paper presents two methods for the design of FIR lters 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-o between pure L2 lters and Chebyshev lters. 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 e ciently using standard software.
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