Mercurial > hg > ltpda
diff m-toolbox/classes/@ao/filtfilt.m @ 0:f0afece42f48
Import.
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/m-toolbox/classes/@ao/filtfilt.m Wed Nov 23 19:22:13 2011 +0100 @@ -0,0 +1,187 @@ +% FILTFILT overrides the filtfilt function for analysis objects. +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% +% +% DESCRIPTION: FILTFILT overrides the filtfilt function for analysis objects. +% Applies the input digital IIR filter to the input analysis object +% forwards and backwards. If the input analysis object contains a +% time-series (tsdata) then the filter is applied using the normal +% recursion algorithm. The output analysis object contains a tsdata +% object. +% +% If the input analysis object contains a frequency-series (fsdata) +% then the response of the filter is computed and then multiplied +% with the input frequency series. The output analysis object +% contains a frequency series. +% +% CALL: >> [b, filt] = filtfilt(a,pl) +% >> b = filtfilt(a,pl) +% +% INPUTS: pl - a parameter list +% a - input analysis object +% +% OUTPUTS: filt - a copy of the input filter object with the +% history values filled in. +% b - output analysis object containing the filtered data. +% +% <a href="matlab:utils.helper.displayMethodInfo('ao', 'filtfilt')">Parameters Description</a> +% +% VERSION: $Id: filtfilt.m,v 1.48 2011/05/12 13:20:42 luigi Exp $ +% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +function varargout = filtfilt(varargin) + + % Check if this is a call for parameters + if utils.helper.isinfocall(varargin{:}) + varargout{1} = getInfo(varargin{3}); + return + end + + import utils.const.* + utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename); + + % Collect input variable names + in_names = cell(size(varargin)); + for ii = 1:nargin,in_names{ii} = inputname(ii);end + + % Collect all AOs and plists + [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names); + [pl, pl_invars] = utils.helper.collect_objects(varargin(:), 'plist', in_names); + [fbobjs, f_invars] = utils.helper.collect_objects(varargin(:), 'filterbank', in_names); + [fobj, f_invars] = utils.helper.collect_objects(varargin(:), 'ltpda_filter', in_names); + + % Make copies or handles to inputs + bs = copy(as, nargout); + + % combine plists + pl = parse(pl, getDefaultPlist()); + + + if isempty(fobj) && isempty(fbobjs) + fobj = find(pl, 'filter'); + if isa(fobj, 'filterbank') + fbobjs = fobj; + end + f_invars{1} = class(fobj); + end + + % check inputs + if ~isa(fobj, 'miir') && ~isa(fobj, 'mfir') && ~isa(fbobjs, 'filterbank') + error('### the filter input should be either an miir/mfir object or a filterbank object.'); + end + + fobj_out = []; + fp = []; + + % Loop over AOs + for jj = 1:numel(bs) + + % Copy filter so we can change it + if ~isempty(fobj) + fp = copy(fobj, 1); + elseif ~isempty(fbobjs) + fp = copy(fbobjs, 1); + end + % keep the history to suppress the history of the intermediate steps + inhist = bs(jj).hist; + + if isa(bs(jj).data, 'tsdata') + %------------------------------------------------------------------------ + %------------------------ Time-series filter ------------------------ + %------------------------------------------------------------------------ + + %%%%%%%%%%%%%%%%%%%%%%%%%%% filter %%%%%%%%%%%%%%%%%%%%%%%%%%% + if isa(fp,'ltpda_filter') + % redesign if needed + fs = bs(jj).data.fs; + if fs ~= fp.fs + warning('!!! Filter is designed for a different sample rate of data.'); + % Adjust/redesign if this is a standard filter + fp = redesign(fp, fs); + end + % apply filter + if isa(fp, 'miir') + bs(jj).data.y = filtfilt(fp.a, fp.b, bs(jj).data.y); + elseif isa(fp, 'mfir'); + bs(jj).data.y = filtfilt(fp.a, 1, bs(jj).data.y); + else + error('### Unknown filter object [%s]', class(fp)); + end + % set y-units = yunits.*ounits./iunits + bs(jj).data.setYunits(bs(jj).data.yunits.*fp.ounits./fp.iunits); + + %%%%%%%%%%%%%%%%%%%%%%%%%%% filter bank %%%%%%%%%%%%%%%%%%%%%%%%%%% + elseif isa(fp,'filterbank') + % redesign not implemented for filterbank + %%% + % utils.math routine to apply filtfilt properly + bs(jj).data.y = utils.math.filtfilt_filterbank(bs(jj),fp); + % not setting units yet + %%% + end + + elseif isa(bs(jj).data, 'fsdata') + %------------------------------------------------------------------------ + %---------------------- Frequency-series filter --------------------- + %------------------------------------------------------------------------ + + % apply filter + fil_resp = resp(fp, plist('f', bs(jj))); + bs(jj) = bs(jj).*fil_resp.*conj(fil_resp); + else + error('### unknown data type.'); + end + + + % name for this object + bs(jj).name = sprintf('%s(%s)', fp.name, ao_invars{jj}); + % add history + bs(jj).addHistory(getInfo('None'), pl, ao_invars(jj), [bs(jj).hist fp.hist]); + % clear errors + bs(jj).clearErrors; + % Collect the filters for the output + fobj_out = [fobj_out, fp]; + end + + % Set outputs + if nargout == 1 + varargout{1} = bs; + elseif nargout == 2 + varargout{1} = bs; + varargout{2} = fobj_out; + elseif nargout > 2 + error('### wrong number of output arguments.'); + end +end + +%-------------------------------------------------------------------------- +% Get Info Object +%-------------------------------------------------------------------------- +function ii = getInfo(varargin) + if nargin == 1 && strcmpi(varargin{1}, 'None') + sets = {}; + pls = []; + else + sets = {'Default'}; + pls = getDefaultPlist; + end + % Build info object + 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); +end + +%-------------------------------------------------------------------------- +% Get Default Plist +%-------------------------------------------------------------------------- +function plout = getDefaultPlist() + persistent pl; + if exist('pl', 'var')==0 || isempty(pl) + pl = buildplist(); + end + plout = pl; +end + +function pl = buildplist() + pl = plist({'filter', 'The filter to apply to the data.'}, paramValue.EMPTY_STRING); +end + +