Scilab Website | Contribute with GitLab | Mailing list archives | ATOMS toolboxes
Scilab Online Help
5.5.2 - Русский

Change language to:
English - Français - 日本語 - Português -

Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function

Справка Scilab >> Signal Processing > filters > yulewalk

yulewalk

least-square filter design

Calling Sequence

Hz = yulewalk(N,frq,mag)

Arguments

N

integer (order of desired filter)

frq

real row vector (non-decreasing order), frequencies.

mag

non negative real row vector (same size as frq), desired magnitudes.

Hz

filter B(z)/A(z)

Description

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.

Examples

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)')
Report an issue
<< window filters zpbutt >>

Copyright (c) 2022-2024 (Dassault Systèmes)
Copyright (c) 2017-2022 (ESI Group)
Copyright (c) 2011-2017 (Scilab Enterprises)
Copyright (c) 1989-2012 (INRIA)
Copyright (c) 1989-2007 (ENPC)
with contributors
Last updated:
Wed Apr 01 10:27:17 CEST 2015