Abstract

The introduction of nonlinear optimization techniques to the frequency response masking (FRM) filter has changed the way in which an FRM filter is synthesized. It allows all subfilters in an FRM structure to be optimized at the same time, resulting in further savings in the number of multipliers. We present a set of design equations that help to determine filter lengths and interpolation factor in an FRM filter under a joint optimization approach. It is shown, by means of examples, that the proposed design equations lead to a better estimation of the optimum interpolation factor.

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