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.

Author: jkosciessa

ft_entropyanalysis.m

@@ -333,7 +333,7 @@
                 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