Filtering Frequency Domain Noise
Introduction
This application filters noise from the frequency domain representation of an experimental data set.
Experimental Data
This datatable contains 1024 experimental data points, assigned to the variable 'data'.
There's an underlying trend, but it's obscured by noise.
Frequency Domain Representation
Let's examine this data in the frequency domain and view the power spectrum
There's two dominant frequencies, poluted by low power noise. Let's remove the noise below a specific threshold with a customer filter.
Filtering Noise in the Frequency Domain
This is the filtered power spectrum
Take the filtered data back to the time domain
Comparison of Original and Filtered Data Set
As you can see, we have filtered out much of the noise. The underlying trend is clearer
