Please note that the recommended version of Scilab is 2024.0.0. This page might be outdated.
See the recommended documentation of this function
least-square filter design
Hz = yulewalk(N,frq,mag)
integer (order of desired filter)
real row vector (non-decreasing order), frequencies.
non negative real row vector (same size as frq), desired magnitudes.
Hz = yulewalk(N,frq,mag) finds the N-th order iir filter
n-1 n-2 B(z) b(1)z + b(2)z + .... + b(n) H(z)= ---- = --------------------------------- n-1 n-2 A(z) z + a(2)z + .... + a(n)
which matches the magnitude frequency response given by vectors frq and mag. Vectors frq and mag specify the frequency and magnitude of the desired frequency response. The frequencies in frq must be between 0.0 and 1.0, with 1.0 corresponding to half the sample rate. They must be in increasing order and start with 0.0 and end with 1.0.
f=[0,0.4,0.4,0.6,0.6,1]; H=[0,0,1,1,0,0]; Hz=yulewalk(8,f,H); fs=1000; fhz = f*fs/2; clf(0); xset('window',0); plot2d(fhz',H'); xtitle('Desired Frequency Response (Magnitude)') [frq,repf]=repfreq(Hz,0:0.001:0.5); clf(1); xset('window',1); plot2d(fs*frq',abs(repf')); xtitle('Obtained Frequency Response (Magnitude)')
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