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annotate m-toolbox/test/test_median.m @ 18:947e2ff4b1b9 database-connection-manager

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Update plist.FROM_REPOSITORY_PLIST and plist.TO_REPOSITORY_PLIST
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % TEST_MEDIAN test median() operator for analysis objects.
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2 %
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3 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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4 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % DESCRIPTION: TEST_MEDIAN Test median() operator for analysis objects with
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % tsdata, fsdata cdata and xydata
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7 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % CALL: test_median;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % HISTORY: 31-05-2007 Diepholz
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % Creation.
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12 %
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13 % VERSION: $Id: test_median.m,v 1.5 2009/08/10 13:37:58 hewitson Exp $
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14 %
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15 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 function test_median()
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17
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18 % Create tsdata with a sinewave
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19 pl = plist('fs', 100, 'nsecs', 5, 'waveform', 'sine wave', 'f', 1.23, 'phi', 30);
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20
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21 ts_data = ao(pl);
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22
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23 % Create cdata with a 3x3 Matrix
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24 matr = [1 2 3; 4 5 6; 7 8 9];
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25
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26 c_data = cdata(matr);
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27 c_data = ao(c_data);
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28
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29 % Create xydata with a exp function
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 x = 1:1000;
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31 y = exp(x.^.5/2);
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32
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33 xy_data = xydata(x,y);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 xy_data = ao(xy_data);
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35
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 % Some tests
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 ao_out = median(ts_data);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 ao_out = median(ts_data, ts_data, ts_data);
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39 ao_out = median(ts_data, xy_data);
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40
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41 ao_out = median(ts_data, xy_data);
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42 ao_out = median(ts_data, xy_data);
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43
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44
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45 ao_out = median(c_data, plist('axis', 'y'));
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46
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 % Create different parameter lists to control the median test
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 pl1 = plist('xdata', 't', 'ydata', 'x');
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49 ao_out = median(ts_data, pl1);
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50
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51 pl2 = plist('xdata', 'x', 'ydata', 'y');
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52 ao_out = median(xy_data, pl2);
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53
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54 pl3 = plist('xdata', 'x');
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55 ao_out = median(xy_data, pl3);
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56
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57 pl4 = plist('xdata', 'x');
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58 ao_out = median(xy_data, pl4);
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59
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60 pl5 = plist('ydata', 'y', 'xdata', 'x');
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61 ao_out = median(xy_data, pl5);
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62
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63 end