Currently doing some signal analysis in python for a major project in my physics degree which is due really soon. I need some help!
Say I have two signals, f(t) and g(t) which are recorded over the same amount of time.
f(t) and g(t) both feature different amounts of noise.
f(t) and g(t) are recorded at different sampling rates so I have two different quantities of measurements.
For analysis I imagine I will need:
a) Interpolation (or resampling?) both signals to get the same sampling rate.
b) Smoothing/filtering to reduce noise.
a then b or b then a?
I would like to ideally have two signals with equal sampling frequencies. I would also like all values of f(t) and g(t) to occupy the same points on the t (x) axis. In addition to this I would like to smooth the data as much as possible with a minimal loss of information.