Transform IIR complex bandpass filter to IIR complex bandpass filter with different characteristics


[Num,Den,AllpassNum,AllpassDen] = iirbpc2bpc(B,A,Wo,Wt)


[Num,Den,AllpassNum,AllpassDen] = iirbpc2bpc(B,A,Wo,Wt) returns the numerator and denominator vectors, Num and Den respectively, of the target filter transformed from the complex bandpass prototype by applying a first-order 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 respectively. 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.


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; e.g., in the adaptive system.




Create a complex passband from 0.25 to 0.75:

[b, a] = iirlp2bpc (b, a, 0.5, [0.25,0.75]);
[num, den] = iirbpc2bpc(b, a, [0.25, 0.75], [-0.5, 0.5]);


fvtool(b, a, num, den);

Using FVTool to plot the filters shows you the comparison, presented in this figure.



Numerator of the prototype lowpass filter


Denominator of the prototype lowpass filter


Frequency values to be transformed from the prototype filter


Desired frequency locations in the transformed target filter


Numerator of the target filter


Denominator of the 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.

Was this topic helpful?