How can I speed up MATALAB nested for loop (timestamp correction)? - matlab

Question

I have large data files with 10Hz resolution which have been split up into half hour files. Each half hour file should contain 18000 rows. However, this is not usually the case and there are gaps in the time stamps due to datalogging errors.
In order to be able to process this data further, I need uniform data files with exactly 18000 rows each. I have written a script in MATLAB which solves this problem by using a generated full timestamp for each half hour period. Where there are gaps in the original timestamp, I fill the rows with NaNs (except the timestamp row).
Using a simple example, here is the code:
Fs=1:10; % uniform timestamp
Fs=Fs'; %'//<-- prevents string markdown
Ts=[1 3 7 2 1; 3 4 3 3 2;6 5 2 1 3]; %Ts is the original data with the timestamp in the first column
Corrected=zeros(length(Fs),6); % corrected is the data after applying uniform timestamp
for ii=1:length(Fs)
for jj=1:length (Ts(:,1))
if Fs(ii)==Ts(jj)
Corrected(ii,:)=[Fs(ii) Ts(jj,:)];
break
else
Corrected(ii,:)=[Fs(ii), NaN*[ii,1:4]];
continue
end
end
end
The code works well enough but when I apply it to the 10Hz data, it is extremely slow. Any ideas on how I can improve this code?
Note that in the actual code I compare date strings:
if sum(Fs_str(ii,:)==Ts_str(jj,:))==23
Corrected(ii,:)=[Fs(ii) Ts(jj,:)];