view m-toolbox/test/test_ao_linedetect.m @ 0:f0afece42f48

Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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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