Allpass filter for complex bandpass transformation
[AllpassNum,AllpassDen] = allpassbpc2bpc(Wo,Wt)
[AllpassNum,AllpassDen] = allpassbpc2bpc(Wo,Wt) returns
AllpassNum, and the denominator,
of the first-order allpass mapping filter for performing a complex
bandpass to complex bandpass frequency transformation. This transformation
effectively places two features of an original filter, located at
frequencies Wo1 and Wo2,
at the required target frequency locations Wt1 and
Wt2. It is assumed that Wt2 is
greater than Wt1. In most of the cases the
features selected for the transformation are the band edges of the
filter passbands. In general it is possible to select any feature;
e.g., the stopband edge, the DC, the deep minimum in the stopband,
or other ones.
Relative positions of other features of an original filter do not change in the target filter. This means that it is possible to select two features of an original filter, F1 and F2, with F1 preceding F2. Feature F1 will still precede F2 after the transformation. However, the distance between F1 and F2 will not be the same before and after the transformation.
This transformation can also be used for transforming other types of filters; e.g., complex notch filters or resonators can be repositioned at two distinct desired frequencies at any place around the unit circle. This is very attractive for adaptive systems.
This example shows how to design allpass mapping filter, changing the complex bandpass filter with the band edges at and to the new band edges of and . Find the frequency response of the allpass mapping filter:
Wo = [0.2, 0.4]; Wt = [0.3, 0.6]; [AllpassNum, AllpassDen] = allpassbpc2bpc(Wo, Wt); [ha, f] = freqz(AllpassNum, AllpassDen, 'whole'); plot(f/pi,-angle(ha)/pi, Wt, Wo, 'ro'); title('Mapping Function Wo(Wt)'); xlabel('New Frequency, Wt'); ylabel('Old Frequency, Wo');
Frequency values to be transformed from the prototype filter
Desired frequency locations in the transformed target filter
Numerator of the mapping filter
Denominator of the mapping filter
Frequencies must be normalized to be between -1 and 1, with 1 corresponding to half the sample rate.