How do I find a single value by corresponding data in 2 different tables?

So I have a MATLAB code in which I have a row vector of 1x25 obtained through experiments. The data in this vector is a normalised signal from 1 to 0, for different timesteps starting from 5ns to 235ns, and increasing in timesteps of 10. I have another table of 226x15 obtained through a model, in which there are 226 timesteps with an increment of 1 and the 15 corresponds to the sizes of diameters, starting from 10nm and increasing in steps of 10. The values in this table are also of normalised signals.

The task I have at hand is to link the values of normalised signal in the 1x25 vector with the values of the signals in the 226x15 double for a given timestep and find out to which values of diameters do the normalised values in the 1x25 correspond the most. Through this I have to find a single value of diameter which says that this diameter was more prevalent for a particular signal.

How do I approach this task?

Answer 1

[Eric Sofen]

It sounds like you are trying to align these two things based on time? If so, check out the synchronize method of timetable. There are a bunch of different synchronization options, but it sounds like the 'nearest' method will do the trick.

[Akshay Vivek Panchwagh]

Thank you for your help. Actually I did not frame the question correctly, due to which it could have led to a confusion. I need to solve it differently than using the synchronize method.

I need to find the least difference between the signals obtained experimentally and through a mathematical model for a given timestep, from which I can obtain the further desired values of diameters. But perhaps I can look into this 'nearest' method that you have mentioned.

Thanks a lot for your inputs!