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Lowpass to lowpass analog filter transformation.
Syntax
[bt,at] = lp2lp(b,a,Wo) [At,Bt,Ct,Dt] = lp2lp(A,B,C,D,Wo)
Description
lp2lp transforms an analog lowpass filter prototype with a cutoff frequency of 1 rad/sec into a lowpass filter with any specified cutoff frequency. The transformation is one step in the digital filter design process for the butter, cheby1, cheby2, and ellip functions.
The lp2lp function can perform the transformation on two different linear system representations: transfer function form and state-space form. In both cases, the input system must be an analog filter prototype.
Transfer Function Form (Polynomial)
[bt,at] = lp2lp(b,a,Wo)
transforms an analog lowpass filter prototype given by polynomial coefficients into a lowpass filter with cutoff frequency Wo. Row vectors b and a specify the coefficients of the numerator and denominator of the prototype in descending powers of s:
Wo specifies the cutoff frequency in units of radians/second. lp2lp returns the frequency transformed filter in row vectors bt and at.
State-Space Form
[At,Bt,Ct,Dt] = lp2lp(A,B,C,D,Wo)
converts the continuous-time state-space lowpass filter prototype in matrices A, B, C, D:
Wo. lp2lp returns the lowpass filter in matrices At, Bt, Ct, Dt.
Algorithm
lp2lp is a highly accurate state-space formulation of the classic analog filter frequency transformation. If a lowpass filter is to have cutoff frequency
0, the standard s-domain transformation is
At = Wo*A; Bt = Wo*B; Ct = C; Dt = D;See
lp2bp for a derivation of the bandpass version of this transformation.
See Also
bilinear |
Bilinear transformation method of analog-to-digital filter conversion. |
impinvar |
Impulse invariance method of analog-to-digital filter conversion. |
lp2bp |
Lowpass to bandpass analog filter transformation. |
lp2bs |
Lowpass to bandstop analog filter transformation. |
lp2hp |
Lowpass to highpass analog filter transformation. |