Mercurial > hg > ltpda

annotate m-toolbox/classes/@ao/filtfilt.m @ 13:e05504b18072 database-connection-manager

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Move more functions to utils.repository
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % FILTFILT overrides the filtfilt 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: FILTFILT overrides the filtfilt function for analysis objects.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % Applies the input digital IIR filter to the input analysis object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % forwards and backwards. If the input analysis object contains a
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % time-series (tsdata) then the filter is applied using the normal
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % recursion algorithm. The output analysis object contains a tsdata
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % object.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % If the input analysis object contains a frequency-series (fsdata)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % then the response of the filter is computed and then multiplied
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % with the input frequency series. The output analysis object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 % contains a frequency series.
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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 % CALL: >> [b, filt] = filtfilt(a,pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 % >> b = filtfilt(a,pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 % INPUTS: pl - a parameter list
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % a - input analysis object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 % OUTPUTS: filt - a copy of the input filter object with the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 % history values filled in.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 % b - output analysis object containing the filtered data.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'filtfilt')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 % VERSION: $Id: filtfilt.m,v 1.48 2011/05/12 13:20:42 luigi Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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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 function varargout = filtfilt(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 [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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49 [pl, pl_invars] = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 [fbobjs, f_invars] = utils.helper.collect_objects(varargin(:), 'filterbank', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 [fobj, 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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52
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 % Make copies or handles to inputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 bs = copy(as, nargout);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 % combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 pl = parse(pl, getDefaultPlist());
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 if isempty(fobj) && isempty(fbobjs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 fobj = find(pl, 'filter');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 if isa(fobj, 'filterbank')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 fbobjs = fobj;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 f_invars{1} = class(fobj);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 end
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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 % check inputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 if ~isa(fobj, 'miir') && ~isa(fobj, 'mfir') && ~isa(fbobjs, 'filterbank')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 error('### the filter input should be either an miir/mfir object or a filterbank object.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 fobj_out = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 fp = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 % Loop over AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 for jj = 1:numel(bs)
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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 % Copy filter so we can change it
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 if ~isempty(fobj)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 fp = copy(fobj, 1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 elseif ~isempty(fbobjs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 fp = copy(fbobjs, 1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 % 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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86 inhist = bs(jj).hist;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 if isa(bs(jj).data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 %------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 %------------------------ Time-series filter ------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 %------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 %%%%%%%%%%%%%%%%%%%%%%%%%%% filter %%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 if isa(fp,'ltpda_filter')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 % redesign if needed
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 fs = bs(jj).data.fs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 if fs ~= fp.fs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 warning('!!! Filter is designed for a different sample rate of data.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 % Adjust/redesign if this is a standard filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 fp = redesign(fp, fs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 % apply filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 if isa(fp, 'miir')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 bs(jj).data.y = filtfilt(fp.a, fp.b, bs(jj).data.y);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 elseif isa(fp, 'mfir');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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106 bs(jj).data.y = filtfilt(fp.a, 1, bs(jj).data.y);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 error('### Unknown filter object [%s]', class(fp));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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109 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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110 % set y-units = yunits.*ounits./iunits
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111 bs(jj).data.setYunits(bs(jj).data.yunits.*fp.ounits./fp.iunits);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113 %%%%%%%%%%%%%%%%%%%%%%%%%%% filter bank %%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114 elseif isa(fp,'filterbank')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 % redesign not implemented for filterbank
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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116 %%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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117 % utils.math routine to apply filtfilt properly
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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118 bs(jj).data.y = utils.math.filtfilt_filterbank(bs(jj),fp);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 % not setting units yet
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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120 %%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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121 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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122
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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123 elseif isa(bs(jj).data, 'fsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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124 %------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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125 %---------------------- Frequency-series filter ---------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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126 %------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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127
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 % apply filter
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 fil_resp = resp(fp, plist('f', bs(jj)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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130 bs(jj) = bs(jj).*fil_resp.*conj(fil_resp);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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132 error('### unknown data type.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136 % name for this object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137 bs(jj).name = sprintf('%s(%s)', fp.name, ao_invars{jj});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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138 % add history
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139 bs(jj).addHistory(getInfo('None'), pl, ao_invars(jj), [bs(jj).hist fp.hist]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140 % clear errors
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141 bs(jj).clearErrors;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142 % Collect the filters for the output
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 fobj_out = [fobj_out, fp];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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145
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146 % Set outputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147 if nargout == 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148 varargout{1} = bs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 elseif nargout == 2
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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150 varargout{1} = bs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 varargout{2} = fobj_out;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152 elseif nargout > 2
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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153 error('### wrong number of output arguments.');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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154 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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155 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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156
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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158 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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162 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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163 pls = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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164 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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165 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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166 pls = getDefaultPlist;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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167 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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168 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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169 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: filtfilt.m,v 1.48 2011/05/12 13:20:42 luigi Exp $', sets, pls);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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170 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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171
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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172 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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173 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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174 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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175 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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176 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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177 if exist('pl', 'var')==0 || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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178 pl = buildplist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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179 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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180 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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181 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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182
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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183 function pl = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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184 pl = plist({'filter', 'The filter to apply to the data.'}, paramValue.EMPTY_STRING);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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185 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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186
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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187