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Design of minimum noise digital filters subject to inequality constraints using quadratic programming

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3 Author(s)
J. Lewis ; University of Rhode Island, Kingston, RI, US ; R. Murphy ; D. Tufts

A numerical method is presented for designing digital filters. The method allows one to minimize the mean-square error or noise power over some intervals of frequency, while simultaneously constraining the maximum error in other intervals of frequency. Thus, for example, one can minimize noise power from a stopband of frequencies while constraining signal fidelity in a passband of frequencies by limiting the maximum passband deviation.

Published in:

IEEE Transactions on Acoustics, Speech, and Signal Processing  (Volume:24 ,  Issue: 5 )