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The following example creates an empty miir object
f = miir() -------- None / $Id: miir.m,v 1.42 2008/03/24 23:51:38 mauro Exp ------------ created: 2008-03-30 17:46:47.858 version: $Id: miir.m,v 1.42 2008/03/24 23:51:38 mauro Exp name: None fs: 0 ntaps: 0 a: b: gain: 0 histin: histout: Parameters: ----------- plist 01 ----------- n params: 0 -------------------------------- -------------------------------------------------------------------------------
The following example creates a new miir object by loading the miir object from disk.
f = miir('f.mat') f = miir('f.xml')
Construct an MIIR of a standard type.
'type' |
one of the types: 'highpass', 'lowpass', 'bandpass', 'bandreject' [default 'lowpass'] |
You can also specify optional parameters:
'gain' |
The gain of the filter [default: 1] |
'fc' |
The roll-off frequency [default: 0.1 Hz] |
'fs' |
The sampling frequency to design for [default: 1 Hz] |
'order' |
The filter order [default: 1] |
'ripple' |
pass/stop-band ripple for bandpass and bandreject filters [default: 0.5] |
The following example creates an order 64 highpass filter with high frequency gain 2. Filter is designed for 1 Hz sampled data and has a cut-off frequency of 0.2 Hz.
pl = plist('type', 'highpass', ... 'order', 64, ... 'gain', 2.0, ... 'fs', 1, ... 'fc', 0.2); f = miir(pl)
Furthermore it is possible to specify a spectral window.
win = specwin('Kaiser', 11, 150); pl = plist('type', 'lowpass', ... 'Win', win, ... 'fs', 100, ... 'fc', 20, ... 'order', 10); f = miir(pl)
The following example creates a miir object from a pole/zero model.
'pzmodel' |
A pzmodel object to construct the filter from [default: empty pzmodel] |
'fs' |
Sample rate |
ps = [pole(1) pole(200)]; zs = [zero(50)]; pzm = pzmodel(1, ps, zs); pl = plist('pzmodel', pzm, 'fs', 1000); f = miir(pl)
The miir constructor also accepts as an input existing models in different formats:
LISO files
f = miir('foo_iir.fil')
XML files
f = miir('foo_iir.xml')
MAT files
f = miir('foo_iir.mat')
From repository
f = miir(plist('hostname', 'localhost', 'database', 'ltpda', 'ID', []))
Alternatively, the filter can be defined in terms of two vectors specifying the coefficients of the filter and the sampling frequency. The following example creates a IIR filter with sampling frequency 1 Hz and the following recursive equation:
a = [0.5 -0.01]; b = [1 0.1] fs = 1; f = miir(a,b,fs)
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Constructor examples of the MFIR class | Constructor examples of the PARAM class | ![]() |
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