The problem of designing optimal digital W filters with frequency responses
approximating arbitrarily chosen complex functions is considered. The real
-valued coefficients of the filter's transfer function are obtained by nume
rical minimization of carefully formulated cost, which is referred here to
as the weighted integral of the squared error (WISE) criterion. The WISE cr
iterion linearly combines the WLS criterion that is used in the weighted le
ast squares approach toward filter design and some time-domain components.
The WLS part of WISE enforces quality of the frequency response of the desi
gned tilter, while the time-domain part of the WISE criterion restricts the
positions of the filter's poles to the interior of an origin-centred circl
e with arbitrary radius. This allows one not only to achieve stability of t
he filter but also to maintain some safety margins. A great advantage of th
e proposed approach is that it does not impose any constraints on the optim
ization problem and the optimal filter can be sought using off-the-shelf op
timization procedures. The power of the proposed approach is illustrated wi
th filter design examples that compare favorably with results published in
research literature.