Documentation |
Zero-pole-gain lowpass to highpass frequency transformation
[Z2,P2,K2,AllpassNum,AllpassDen]
= zpklp2hp(Z,P,K,Wo,Wt)
[Z2,P2,K2,AllpassNum,AllpassDen] = zpklp2hp(Z,P,K,Wo,Wt) returns zeros, Z_{2}, poles, P_{2}, and gain factor, K_{2}, of the target filter transformed from the real lowpass prototype by applying a first-order real lowpass to real highpass frequency mapping. This transformation effectively places one feature of an original filter, located at frequency W_{o}, at the required target frequency location, W_{t}, at the same time rotating the whole frequency response by half of the sampling frequency. Result is that the DC and Nyquist features swap places.
It also returns the numerator, AllpassNum, and the denominator, AllpassDen, of the allpass mapping filter. The prototype lowpass filter is given with zeros, Z, poles, P, and the gain factor, K.
Relative positions of other features of an original filter change in the target filter. This means that it is possible to select two features of an original filter, F_{1} and F_{2}, with F_{1} preceding F_{2}. After the transformation feature F_{2} will precede F_{1} in the target filter. However, the distance between F_{1} and F_{2} will not be the same before and after the transformation.
Choice of the feature subject to the lowpass to highpass 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, or the deep minimum in the stopband, or other ones.
Lowpass to highpass transformation can also be used for transforming other types of filters; e.g., notch filters or resonators can change their position in a simple way without designing them again.
Design a prototype real IIR halfband filter using a standard elliptic approach:
[b, a] = ellip(3,0.1,30,0.409); z = roots(b); p = roots(a); k = b(1); [z2,p2,k2] = zpklp2hp(z, p, k, 0.5, 0.25);
Verify the result by comparing the prototype filter with the target filter:
fvtool(b, a, k2*poly(z2), poly(p2));
Variable | Description |
---|---|
Z | Zeros of the prototype lowpass filter |
P | Poles of the prototype lowpass filter |
K | Gain factor of the prototype lowpass filter |
Wo | Frequency value to be transformed from the prototype filter |
Wt | Desired frequency location in the transformed target filter |
Z2 | Zeros of the target filter |
P2 | Poles of the target filter |
K2 | Gain factor of the target filter |
AllpassNum | Numerator of the mapping filter |
AllpassDen | Denominator of the mapping filter |
Frequencies must be normalized to be between 0 and 1, with 1 corresponding to half the sample rate.
Constantinides, A.G., "Spectral transformations for digital filters," IEE Proceedings, vol. 117, no. 8, pp. 1585-1590, August 1970.
Nowrouzian, B. and A.G. Constantinides, "Prototype reference transfer function parameters in the discrete-time frequency transformations," Proceedings 33rd Midwest Symposium on Circuits and Systems, Calgary, Canada, vol. 2, pp. 1078-1082, August 1990.
Nowrouzian, B. and L.T. Bruton, "Closed-form solutions for discrete-time elliptic transfer functions," Proceedings of the 35th Midwest Symposium on Circuits and Systems, vol. 2, pp. 784-787, 1992.
Constantinides, A.G., "Frequency transformations for digital filters," Electronics Letters, vol. 3, no. 11, pp. 487-489, November 1967.