We have sets of ADC data collected with different
front-end filters at acquisition; given an empirically determined roll
off in dB/octave or dB/Hz, I'd like to perform equalization (in this case
the low frequencies) and I know from sweeps that roll off begins under
~200Hz and -3dB is ~15Hz.
Our specific case is flattening the response due to a single-pole RC
high-pass filter so I think remez() might be just fine; can anyone here
supply links or examples in scipy to this application of remez()?
I'm guessing scipy.signal.remez(
range(.625, 512, .625),
desired= <inverse of measured gain, range(.625, 256, .625)>,