diff m-toolbox/classes/@ao/spectrogram.m @ 0:f0afece42f48

Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
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/spectrogram.m	Wed Nov 23 19:22:13 2011 +0100
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+% SPECTROGRAM computes a spectrogram of the given ao/tsdata.
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%
+% DESCRIPTION: SPECTROGRAM computes a spectrogram of the given ao/tsdata
+%              using MATLAB's spectrogram function.
+%
+% CALL:        b = spectrogram(a, pl)
+%
+% <a href="matlab:utils.helper.displayMethodInfo('ao', 'spectrogram')">Parameters Description</a>
+%
+% VERSION:     $Id: spectrogram.m,v 1.30 2011/04/08 08:56:18 hewitson Exp $
+%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+function varargout = spectrogram(varargin)
+
+  bs = [];
+
+  %%% 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
+  [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
+  [ps, pl_invars] = utils.helper.collect_objects(varargin(:), 'plist', in_names);
+
+  % Process parameters
+  pl = parse(ps, getDefaultPlist);
+  
+  as = copy(as, nargout);
+
+  % Check input analysis object
+  for j=1:numel(as)
+    a     = as(j);
+
+    if isa(a.data, 'tsdata')
+      % Get settings for this AO
+      nfft = find(pl, 'Nfft');
+      if isempty(nfft) || nfft < 0
+        nfft = length(a.data.y)/2;
+      end
+      win  = find(pl, 'Win');
+      if ischar(win)
+        win = specwin(win);
+      end
+      if length(win.win) < nfft
+        switch lower(win.type)
+          case 'kaiser'
+            win = specwin(win.type, nfft, win.psll);
+          otherwise
+            win = specwin(win.type, nfft);
+        end
+        utils.helper.msg(msg.PROC1, 'reset window to %s(%d)', strrep(win.type, '_', '\_'), length(win.win));
+      end
+      nolap = find(pl, 'Nolap');
+      if isempty(nolap) || nolap < 0
+        nolap = floor(win.rov*nfft/100);
+      end
+      
+      % Process data
+      [S, F, T, P] = spectrogram(a.data.y, win.win, nolap, nfft, a.data.fs);
+      
+      % Make output AO
+      do = xyzdata(T, F, P);
+      do.setXunits('s');
+      do.setYunits('Hz');
+      do.setZunits(a.data.yunits^2 / unit('Hz'));
+      
+      a.data = do;
+      a.name = sprintf('spectrogram(%s)', ao_invars{j});
+      a.addHistory(getInfo('None'), pl, cellstr(ao_invars{j}), a.hist);
+      
+      % add to output
+      bs = [bs a];
+    else
+      warning('!!! Skipping input AO [%s] - it is not a time-series', a.name);
+      % add to output
+      bs = [bs a];
+    end
+  end
+
+  % Set output
+  if nargout == numel(bs)
+    % List of outputs
+    for ii = 1:numel(bs)
+      varargout{ii} = bs(ii);
+    end
+  else
+    % Single output
+    varargout{1} = bs;
+  end
+
+end
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%                               Local Functions                               %
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%
+% FUNCTION:    getInfo
+%
+% DESCRIPTION: Get Info Object
+%
+% HISTORY:     11-07-07 M Hewitson
+%                Creation.
+%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+function ii = getInfo(varargin)
+  if nargin == 1 && strcmpi(varargin{1}, 'None')
+    sets = {};
+    pl   = [];
+  else
+    sets = {'Default'};
+    pl   = getDefaultPlist;
+  end
+  % Build info object
+  ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: spectrogram.m,v 1.30 2011/04/08 08:56:18 hewitson Exp $', sets, pl);
+end
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%
+% FUNCTION:    getDefaultPlist
+%
+% DESCRIPTION: Get Default Plist
+%
+% HISTORY:     11-07-07 M Hewitson
+%                Creation.
+%
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+function plout = getDefaultPlist()
+  persistent pl;  
+  if exist('pl', 'var')==0 || isempty(pl)
+    pl = buildplist();
+  end
+  plout = pl;  
+end
+
+function pl = buildplist()
+  
+  pl = plist();
+  
+  % Win
+  p = param({'Win', 'The spectral window to apply to the data.'}, paramValue.WINDOW);
+  pl.append(p);
+  
+  % Nolap
+  p = param({'Nolap', 'The segment overlap (%).'}, {1, {-1}, paramValue.OPTIONAL});
+  pl.append(p);
+  
+  % Nfft
+  p = param({'Nfft', 'The number of samples in each short fft.'}, {1, {-1}, paramValue.OPTIONAL});
+  pl.append(p);
+  
+end
+
+% PARAMETERS:
+%
+%           'Win'   - a specwin object [default: Kaiser -200dB psll]
+%           'Nolap' - segment overlap [default: taken from window function]
+%           'Nfft'  - number of samples in each short fourier transform
+%                     [default: sample rate of data]
+%