How to do it more efficiently?
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Ilham Hardy
am 23 Dez. 2014
Kommentiert: Ilham Hardy
am 24 Dez. 2014
Hi,
In my script, this piece of code is taking about 70% of processing time.
The idea is to create uniform timestamp, it searches the time array and compare it with the Tsynced. if there is no similar entry, the other parameters to NaN.
Is there anyway to change the script below without using find function? Even better if no for-loop is required.
Code:
for ix = 1:length(time_synced)
[r,~,~] = find(cCells(:,1)==time_synced(ix),1,'first');
if isempty(r)
curArr(ix,:) = NaN;
else
curArr(ix,:) = cCells(r,:);
end
end
Thanks.
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Akzeptierte Antwort
Roger Stafford
am 23 Dez. 2014
See if this is faster:
[t,ic] = ismember(time_synced,cCells(:,1));
curArr(t) = cCells(ic);
curArr(~t) = NaN;
Note: This assumes that 'time_synced' and 'curArr' are vectors of the same length.
2 Kommentare
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Andrei Bobrov
am 23 Dez. 2014
[l0,ii] = ismember(time_synced,cCells(:,1));
out = nan(numel(time_synced),size(cCells,2));
out(l0,:) = cCells(ii(l0),:);
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