MATLAB: Time align data-sets and get the missing values with interpolation

time series

Hello! Everyone,

I have two datasets which are logged at different rates. I am trying to time align these two data sets and after the data is time aligned i want to interpolate the and get the missing data values. I used a concept of timetables for time alignment but its taking forever to align that way. Can any one please suggest me how can i time align data and then fill up rest of missing data with the help of interpolation.

Thanks

Best Answer

You can do interpolation to get both the data sets to same time stamps. Read about interp1. After you get both the data's into same time, again you can use interp1 to get missing data. Or if you are using MATLAB 2016b or higher you can have a look on fillmissing to get the missing data.

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a = rand(100,1) ;
% put some NaN's
a(randsample(100,20)) = NaN ;
%%interpolate 
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a(isnan(a)) = interp1(x(~isnan(a)),a(~isnan(a)),x(isnan(a))) ;
plot(x,a,'.r') 
hold on
plot(x,a,'b')

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If you're storing your data in timetable arrays, synchronize the timetables and/or remove the missing values using rmmissing. Note that timetable, synchronize, and rmmissing were introduced in release R2016b.

Best Answer

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