Say I have a signal (1D in my case, but could be an image, etc.) that has been captured adequately on nice equipment with sufficient resolution and range to get all the details of the signal that are important. I want to estimate what the minimum dynamic range to capture the relevant details of the signal would be.
In particular I want to compare the dynamic range of two signals.
My idea was to take the top percentile of the absolute value of the stored signal, divided by the bottom percentile. In python, for example:
DRestimate = np.percentile(y,99)/np.percentile(y,1)
Obviously this depends on subjectively picking a good percentile for your application, but it does allow me to get a comparison between two signals. So, the question is, is there a standard, or better way to do this?