How to compare two data sets in order to find hidden information and differentiate between them

Hi! I have two data sets very similar displayed in Fig1 and Fig2.

Is there any way to differentiate between the two data sets that is not based on the number of spikes, amplitude or length of the data sets?

An analysis method that will allow me to find out another information that is not visible in the graphs?

Thanks!

Answer 1

[Udit06]

Hi Jessie,

You can use the frequency domain analysis to differentiate the two datasets that you have. This can help identify periodic patterns or dominant frequencies that may not be visible in the time domain. You can refer to the following MathWorks documentation for the same:

https://www.mathworks.com/help/signal/ug/practical-introduction-to-frequency-domain-analysis.html

You can also compare mean, median, variance, skewness, and kurtosis of the datasets to understand their distribution characteristics. You can refer to the following MathWorks documentation which talks about exploratory data analysis.

https://www.mathworks.com/help/stats/exploratory-analysis-of-data.html

I hope this helps.