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view m-toolbox/test/test_miir_filtfilt.m @ 0:f0afece42f48
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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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% Test the filtfilt function for the miir class. % % % M Hewitson 02-03-07 % % $Id: test_miir_filtfilt.m,v 1.18 2009/04/07 17:45:22 ingo Exp $ % function test_miir_filtfilt() % make a bandpass filter pl = plist('type', 'bandpass', 'fs', 1000, 'fc', [50 100], 'order', 3); f = miir(pl); % Make an analysis object nsecs = 10; fs = 1000; pl = plist('nsecs', nsecs, 'fs', fs, 'tsfcn', 'randn(size(t))'); a1 = ao(pl); % Filter the input data [a2, f] = filtfilt(a1, plist('filter', f)); % Plot time-series iplot(a1, a2) % Make TF a3 = tfe(a1,a2); b = a3; % Plot TF iplot(b) plot(b.hist) % Reproduce from history a_out = rebuild(b); iplot(a_out) plot(a_out.hist) end