I have a time series that has too many points. I sample one in every 100 points, in order to reduce the amount of data I need to transmit from my measurement device.
What accuracy metric can I use to calculate how well the sampled data represents the raw data? Cross correlation seems to need the same number of points.
Would this method also work if I had a sampling algorithm that selected randomly between every 100 points?
Your help is very much appreciated!