The noise floor changes the distribution of sound pressure levels quite a bit and will be necessary to compare to empirical observations. Peaky histograms of Leq, 1s are a good example:
Shouldn't be too hard - slightly variable noise floor time series as an attribute, self.noise_floor would allow the creation of a fourth time series, self.censored_record
For LD831 data I was using noise_floor = np.random.normal(19.0, 3.0, size=rec.duration), which probably should become the default.
The noise floor changes the distribution of sound pressure levels quite a bit and will be necessary to compare to empirical observations. Peaky histograms of Leq, 1s are a good example:
Shouldn't be too hard - slightly variable noise floor time series as an attribute,
self.noise_floorwould allow the creation of a fourth time series,self.censored_recordFor LD831 data I was using
noise_floor = np.random.normal(19.0, 3.0, size=rec.duration), which probably should become the default.