Mercurial > hg > ltpda

annotate m-toolbox/classes/@ao/fftfilt.m @ 50:7d2e2e065cf1 database-connection-manager

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Update unit tests
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 07 Dec 2011 17:24:37 +0100
parents f0afece42f48
children
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % FFTFILT overrides the fft filter function for analysis objects.
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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 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: FFTFILT overrides the fft filter function for analysis objects.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % Applies the input filter to the input analysis
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % object in the frequency domain.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % CALL: >> b = fftfilt(a,smodel); b = fftfilt(a,plist('filter',smodel))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % >> b = fftfilt(a,mfir); b = fftfilt(a,plist('filter',mfir))
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11 % >> b = fftfilt(a,miir); b = fftfilt(a,plist('filter',miir))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % >> b = fftfilt(a,ltpda_tf); b = fftfilt(a,plist('filter',ltpda_tf))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % >> b = fftfilt(a,plist('filter',c)) % c is an AO used as a
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 % filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % INPUTS:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 % a - input analysis object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % one of
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 % smodel - a model to filter with. The x-dependency must
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % be on frequency ('f').
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 % mfir - an FIR filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 % miir - an IIR filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 % tf - an ltpda_tf object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 % including:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 % - pzmodel
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % - rational
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 % - parfrac
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 % ao - a frequency-series AO. This must have the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 % correct frequency base to match the FFT'd input
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 % data. You must input it in a plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 % OUTPUTS:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 % b - output analysis object containing the filtered data.
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34 %
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35 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'fftfilt')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 % VERSION: $Id: fftfilt.m,v 1.35 2011/05/28 05:42:15 mauro Exp $
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38 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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40
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 function varargout = fftfilt(varargin)
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42
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 end
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48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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51
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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55
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 [filt, f_invars] = utils.helper.collect_objects(varargin(:), 'ltpda_filter', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 [mobjs, md_invars] = utils.helper.collect_objects(varargin(:), 'smodel', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 [tfobjs, tf_invars] = utils.helper.collect_objects(varargin(:), 'ltpda_tf', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 % Make copies or handles to inputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 bs = copy(as, nargout);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 % Apply defaults to plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 pl = applyDefaults(getDefaultPlist, varargin{:});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 % Filter with a smodel object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 if ~isempty(mobjs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 filt = mobjs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 elseif ~isempty(tfobjs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 filt = tfobjs;
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73 end
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74
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 if isempty(filt)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 filt = find(pl, 'filter');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 if isempty(filt)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 error('### A filter must be provided ###')
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81 end
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82
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 % get number of Bins for zero padding
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 Npad = find(pl,'Npad');
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85
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 % get initial conditions
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87 inConds = find(pl,'Initial Conditions');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 % check initial conditions
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 if ~isempty(inConds)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 if iscell(inConds) && numel(inConds) ~= numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 error('### Please give the proper number of initial conditions')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 if ~iscell(inConds) && numel(bs)>1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 error('### Please give the initial conditions in a cell-array')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 inConds = {inConds};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 inCondsMdl = repmat(smodel(), numel(bs), 1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 for ii = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 if ~isempty(inConds)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 N = numel(inConds{ii});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 expr = '';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 ix = 1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 for jj = N-1:-1:0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 expr = [expr,sprintf('+(2*pi*i*f).^%i*%g',jj,inConds{ii}(ix))];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 ix = ix+1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 inCondsMdl(ii) = smodel(plist('expression', expr, 'xvar', 'f'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 for ii = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 % keep the history to suppress the history of the intermediate steps
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 inhist = bs(ii).hist;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 % make sure we operate on physical frequencies
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 switch class(filt)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 case 'smodel'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 switch filt.xvar{1}
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 case 'f'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124 % Nothing to do
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 case 's'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 % I need to map from 's' to 'f'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 filt.setTrans('2*pi*i');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 error('### The filter smodel must have xvar = ''s'' or ''f''');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 % call core method of the fftfilt
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 bs(ii).fftfilt_core(filt, Npad, inCondsMdl(ii));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136
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Daniele Nicolodi <nicolodi@science.unitn.it>
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137 % Set name
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 bs(ii).setName(sprintf('fftfilt(%s)', ao_invars{ii}));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 % Add history
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Daniele Nicolodi <nicolodi@science.unitn.it>
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140 bs(ii).addHistory(getInfo('None'), pl, ao_invars(ii), [inhist filt(:).hist]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 varargout = utils.helper.setoutputs(nargout, bs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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147
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Daniele Nicolodi <nicolodi@science.unitn.it>
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148
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Daniele Nicolodi <nicolodi@science.unitn.it>
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149 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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151 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158 pl = getDefaultPlist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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161 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: fftfilt.m,v 1.35 2011/05/28 05:42:15 mauro Exp $', sets, pl);
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162 end
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163
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164 %--------------------------------------------------------------------------
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165 % Get Default Plist
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166 %--------------------------------------------------------------------------
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167 function plout = getDefaultPlist()
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168 persistent pl;
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169 if ~exist('pl', 'var') || isempty(pl)
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170 pl = buildplist();
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171 end
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172 plout = pl;
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173 end
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174
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175 function pl = buildplist()
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176
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177 pl = plist();
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178
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179 % Filter
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180 p = param({'filter', 'The filter to apply to the data.'}, paramValue.EMPTY_STRING);
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181 pl.append(p);
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182
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183 % Number of bins for zero padding
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184 p = param({'Npad', 'Number of bins for zero padding.'}, paramValue.EMPTY_DOUBLE);
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185 pl.append(p);
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186
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187 % Initial conditions
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188 p = param({'Initial Conditions', ['A cell containing the arrays of initial conditions, one '...
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189 'for each system being solved, '...
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190 'starting from the lower order to the maximum allowed. '...
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191 'It assumed that the underlying system follows a linear differential equation with constant coefficients. '...
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192 'For example, if the system is the Newton '...
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193 '2nd-order equation of motion, than the array contains the initial position and the '...
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194 'initial velocity.']}, paramValue.EMPTY_CELL);
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195 pl.append(p);
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196
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197 end
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198
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199
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200