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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
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% Tests for ao/linedetect % % $Id: test_ao_linedetect.m,v 1.1 2010/02/23 20:33:35 mauro Exp $ % %% Data production % Select how many and which lines to put on Nlines = 6; f = [0.002 0.123 0.00765 0.02 0.09 0.0041]; A = [1:1:Nlines]; % Sampling rate, duration, units fs = 1; nsecs = 10000; yunits = 'T'; % Prepare the input time-series data as: noise + signals an = ao(plist('waveform', 'noise', 'sigma', 0.05, 'nsecs', nsecs, 'fs', fs, 'yunits', yunits)); al = ao(plist('waveform', 'sine', 'f', f, 'A', A, 'nsecs', nsecs, 'fs', fs, 'yunits', yunits)); a = al + an; %% Data analysis % evaluate the PSD of the time-series s = a.psd; % check the lines are in the spectrum iplot(s) %% run the linedetect method l = linedetect(s, plist('N', 5, 'fsearch',[0 fs/2],'bw', 0.02, 'hc', 0.9)); l.x