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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 18:04:34 +0100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 function test_noisegen()
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2
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3 % TEST_NOISEGEN tests the Franklin noise-generator algorithm.
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4 %
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5 %
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6 % $Id: test_noisegen.m,v 1.11 2008/07/18 15:53:58 anneke Exp $
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7 %
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8
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9
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10
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11 %% poles and zeros
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12 pole = [pz(5,1) pz(1)];
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13 zero = pz(3);
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14 gain = 1;
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15 pzm = pzmodel(gain, pole, zero);%% convert to get a and b coefficients
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16
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17 % parameter list for noise generation
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18 pl = plist('nsecs', 100000,'fs', 10,'pzmodel', pzm, 'ndigits',50);
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19
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20 %% calling the noisegenerator
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21 b = ao(pl);
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22
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23 %% Make LPSD
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24 % Window function
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25 w = specwin('Kaiser', 10, 150);
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26 % parameter list for lpsd
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27 lpl = plist('Kdes', 1000,'Kmin', 2,'Jdes', 1000,'Win', w,'order',0,'scale','ASD');
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28
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29 % LPSD
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30 noise = lpsd(b, lpl); % matlab
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31
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32 rpl = plist('f1',1e-5,'f2',10,'nf',5e3);
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33 %% Plot
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34 % iplot(b)
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35 % iplot(analyt)
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36 plpl = plist('lengend','off');
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37 iplot(noise,abs(resp(pzm,rpl)),plpl)
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38
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39 % plot(noise.hist)