Fast realtime IIR filter
This is an IIR filter class which performs sample by sample realtime processing of data. It’s very efficient because it’s not using any indexing operations internally. The class instance acts as the memory of the filter so that it remembers its past.
Use the standard python command to import it:
Calculate the coefficients
Use your favourite scipy IIR design command and export as SOS:
sos = signal.butter(order, [cutoff(s)], '[filter type]', output='sos')
Create an instance
The instance takes the sos chain as an argument:
f = iir_filter.IIR_filter(sos)
Perform filtering sample by sample
Filtering is sample by sample by sending in the samples as they arrive, for example from an ADC:
sample = f.filter(sample)
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.