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−% Test script for ao/fftfilt
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−%
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−% L Ferraioli 09-10-08
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−%
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−% $Id: test_ao_cov.m,v 1.2 2008/12/11 08:25:15 hewitson Exp $
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−%
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−
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−s = ao(plist('tsfcn', '3.*sin(2.*pi.*0.01.*t) + randn(size(t))', 'fs', 10, 'nsecs', 1e4));
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−
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−%% Test with a miir filter
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−
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−% get a miir filter
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−plf = plist('type','lowpass',...
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−  'order',4,...
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−  'fs',10,...
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−  'fc',1);
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−filt = miir(plf);
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−
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−% do classical fitering
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−fs1 = filter(s,filt);
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−iplot(s,fs1)
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−
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−% do fftfilt
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−fs2 = fftfilt(s,filt);
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−
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−% compare results
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−iplot(fs1,fs2)
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−iplot(fs1./fs2)
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−iplot(fs1-fs2)
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−
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−%% Test with a miir filter
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−
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−% get a miir filter
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−plf = plist('type','lowpass',...
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−  'order',4,...
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−  'fs',10,...
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−  'fc',1);
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−filt = miir(plf);
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−
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−% do classical fitering
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−fs1 = filter(s,filt);
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−iplot(s,fs1)
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−
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−% do fftfilt
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−plfft = plist('Npad',5.*length(s.data.y));
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−fs2 = fftfilt(s,filt);
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−
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−% compare results
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−iplot(fs1,fs2)
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−iplot(fs1./fs2)
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−iplot(fs1-fs2)
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−
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−%%
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−
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−% imp = zeros(10000,1);
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−% imp(1) = 1;
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−% 
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−% imp_resp = filter(num,den,imp);
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−% 
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−% 
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−% fs1 = filter(num,den,s.y);
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−% fs2 = conv(s.y,imp_resp);
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−% X = fft([s.y;zeros(length(imp_resp)-1,1)]);
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−% Y = fft([imp_resp;zeros(length(s.y)-1,1)]);
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−% fs3 = ifft(X.*Y);
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−
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−%% Test pzmodel fftfilt
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−
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−poles = [pz(1e-3,2) pz(1e-2)];
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−zeros = [pz(3e-3,3) pz(5e-2)];
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−pzm   = pzmodel(10, poles, zeros);
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−
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−% do fftfilt
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−plfft = plist('Npad',5.*length(s.data.y));
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−fs = fftfilt(s,pzm);
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−
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−tf = tfe(s,fs,plist('navs',2));
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−rsp = resp(pzm,plist('f',logspace(-4,log10(5))));
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−iplot(tf,rsp)
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−
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−%% Test smodel
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−
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−str = 'a.*(2.*i.*pi.*f).^2 + b.*2.*i.*pi.*f + c';
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−mod = smodel(str);
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−mod.setParams({'a','b','c'},{1,2,3});
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−mod.setXvar('f');
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−
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−freq = logspace(-5,log10(5),100);
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−mod.setXvals(freq);
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−mod.setXunits('Hz');
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−mod.setYunits('kg m s^-2');
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−
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−% eval smodel
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−em = eval(mod,plist('output x',freq,'type','fsdata'));
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−
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−% make a time series
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−dt = ao.randn(10000,10);
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−
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−% do fftfilt
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−sdt = fftfilt(dt,mod);
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−
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−% test output
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−tdt = tfe(dt,sdt);
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−iplot(em,tdt)
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−
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−%% Test initial conditions
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−
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−str = 'a.*(2.*i.*pi.*f).^2 + b.*2.*i.*pi.*f + c';
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−mod = smodel(str);
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−mod.setParams({'a','b','c'},{1,2,3});
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−mod.setXvar('f');
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−
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−freq = logspace(-5,log10(5),100);
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−mod.setXvals(freq);
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−mod.setXunits('Hz');
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−mod.setYunits('kg m s^-2');
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−
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−% eval smodel
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−em = eval(mod,plist('output x',freq,'type','fsdata'));
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−
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−% make a time series
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−dt = ao.randn(10000,10);
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−
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−% do fftfilt
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−sdt = fftfilt(dt,mod);
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−
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−% do fftfilt with initial conditions assuming a 2nd order equation
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−sdt_inCond = fftfilt(dt,mod,plist('initial conditions',[2000,1000]));
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−
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−% test output
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−iplot(sdt_inCond,sdt)
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−iplot(sdt_inCond-sdt,plist('yscales',{'all','log'}))
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−
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