Transform IIR lowpass filter to IIR M-band filter
iirlp2mb(B,A,Wo,Wt) returns the numerator and denominator
of the target filter transformed from the real lowpass prototype by
Mth-order real lowpass to real multiple
bandpass frequency mapping. By default the DC feature is kept at its
you to specify an additional parameter,
chooses between using the “DC Mobility” and the “Nyquist
Mobility.” In the first case the Nyquist feature stays at its
original location and the DC feature is free to move. In the second
case the DC feature is kept at an original frequency and the Nyquist
feature is movable.
It also returns the numerator,
and the denominator,
AllpassDen, of the allpass
mapping filter. The prototype lowpass filter is given with a numerator
B and a denominator specified by
This transformation effectively places one feature of an original filter, located at frequency Wo, at the required target frequency locations, Wt1,...,WtM.
Relative positions of other features of an original filter do not change in the target filter. 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.
Choice of the feature subject to this transformation is not restricted to the cutoff frequency of an original lowpass filter. 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., notch filters or resonators can be easily replicated at a number of required frequency locations. A good application would be an adaptive tone cancellation circuit reacting to the changing number and location of tones.
Design a prototype real IIR lowpass elliptic filter with a gain of about –3 dB at 0.5π rad/sample.
[b,a] = ellip(3,0.1,30,0.409);
Create a real multiband filter with two passbands.
[num1,den1] = iirlp2mb(b,a,0.5,[2 4 6 8]/10);
Create a real multiband filter with two stopbands.
[num2,den2] = iirlp2mb(b,a,0.5,[2 4 6 8]/10, 'stop');
Compare the magnitude responses of the filters using FVTool.
hvft = fvtool(b,a,num1,den1,num2,den2); legend(hvft,'Prototype','Two passbands','Two stopbands')
Numerator of the prototype lowpass filter
Denominator of the prototype lowpass filter
Frequency value 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 0 and 1, with 1 corresponding to half the sample rate.
 Franchitti, J.C., “All-pass filter interpolation and frequency transformation problems,” MSc Thesis, Dept. of Electrical and Computer Engineering, University of Colorado, 1985.
 Feyh, G., J.C. Franchitti and C.T. Mullis, “All-pass filter interpolation and frequency transformation problem,” Proceedings 20th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, pp. 164-168, November 1986.
 Mullis, C.T. and R. A. Roberts, Digital Signal Processing, section 6.7, Reading, Mass., Addison-Wesley, 1987.
 Feyh, G., W.B. Jones and C.T. Mullis, “An extension of the Schur Algorithm for frequency transformations,” Linear Circuits, Systems and Signal Processing: Theory and Application, C. J. Byrnes et al Eds, Amsterdam: Elsevier, 1988.