Hello Dharmesh,
I understand that you are trying to replace NaN values in your sensor data using the mean data from other sensors when the data is NaN at a timestamp.
You can follow the below steps:
- Initially, you can combine sensor data into a single "timetable" using the "synchronize" function.
- Next, you can identify timestamps with all NaN values, calculate means, and replace the NaNs using "all" and "ismissing" functions.
- You can perform time-based interpolation for remaining NaN values using the "fillmissing" function.
You can refer to the below documentation to learn more about the "timetable", "synchronize", and "fillmissing" functions in MATLAB.
