corrected HPF implementation by not downsampling the data. Note that this...

corrected HPF implementation by not downsampling the data. Note that this feature was correctly implemented in previous versions but appears to have been lost among some recent merges.

ft_entropyanalysis.m

@@ -333,7 +333,7 @@ for s = 1:numel(timescales) %  loop through timescales
                 cg_data = cell(nloops,1); % make cell: cg_data{istart}{trials}(chan-by-time)
                 resamp_x = data_sel.trial;
                 for is = 1:nloops % loop over starting points here!
-                    cg_data{is} = cellfun(@(resamp_x) resamp_x(:, is:(sc-1+1):end), resamp_x, 'UniformOutput', false );  % add padding% Filter
+                    cg_data{is} = cellfun(@(resamp_x) resamp_x(:, is:(stepSize-1+1):end), resamp_x, 'UniformOutput', false );  % add padding% Filter
                 end
                 clear resamp_x;
             case 'pointavg' % original point averaging coarse graining, no loop over starting points