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annotate m-toolbox/test/test_ifft.m @ 1:2014ba5b353a database-connection-manager

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Remove old code
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Sat, 03 Dec 2011 18:13:55 +0100
parents f0afece42f48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % Test script for ao/ifft
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 % L. Ferraioli 02-12-08
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4 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % $Id: test_ifft.m,v 1.5 2009/09/21 14:10:58 luigi Exp $
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6 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % Description:
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8 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % Generate odd and even sets of data, do fft with all possible options
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % and test that ifft works correctly.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 %
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12 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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13
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14 %% Get odd and even sets of data
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15
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16 a1 = ao(plist('tsfcn', 'randn(size(t))', 'fs', 10, 'nsecs', 10));
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17 a2 = ao(plist('tsfcn', 'randn(size(t))', 'fs', 10, 'nsecs', 10.1));
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18
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 %% fft plain
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20
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 % do standard matlab fft - frequency range from 0 Hz to sampling frequency
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 b1 = fft(a1,plist('type','plain'));
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23 b2 = fft(a2,plist('type','plain'));
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24
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 % ifft
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 c1 = ifft(b1);
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27 c2 = ifft(b2);
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28
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29 % compare with original data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 iplot(a1,c1, plist('LineStyles', {'-', '--'}));
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31 iplot(a2,c2, plist('LineStyles', {'-', '--'}));
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32 iplot(c1./a1,c2./a2,plist('LineStyles', {'-', '--'}))
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33
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34
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 %% fft onesided
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36
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 % do one-sided fft - frequency range from 0 Hz to Nyquist frequency
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 b1 = fft(a1,plist('type','one'));
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39 b2 = fft(a2,plist('type','one'));
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40
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41 % ifft
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42 c1 = ifft(b1);
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43 c2 = ifft(b2);
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44
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45 % compare with original data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 iplot(a1,c1, plist('LineStyles', {'-', '--'}));
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47 iplot(a2,c2, plist('LineStyles', {'-', '--'}));
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48 iplot(c1./a1,c2./a2,plist('LineStyles', {'-', '--'}))
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49
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50 %% fft twosided
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51
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52 % do two-sided fft - frequency range from -Nyquist to Nyquist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 b1 = fft(a1,plist('type','two'));
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54 b2 = fft(a2,plist('type','two'));
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55
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56 % ifft
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57 c1 = ifft(b1);
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58 c2 = ifft(b2);
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59
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60 % compare with original data
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61 iplot(a1,c1, plist('LineStyles', {'-', '--'}));
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62 iplot(a2,c2, plist('LineStyles', {'-', '--'}));
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63 iplot(c1./a1,c2./a2,plist('LineStyles', {'-', '--'}))