

@ 160,10 +160,11 @@ class NoiseAnalyser(Analyser): 



within a 30 min time window before the start of the set preevent noise 



window, only a warning is thrown. 







It is also possible to remove data where the noise level exceeds the median 



by a given factor (by setting there weight to 0). This can be done 



exclusively (``mode='weeding'``) or in combination with weighting 



(``mode='weighting'``). 



It is further possible to disregard data with a noise level exceeding the 



median by a given ``cutoff`` factor. These weights are set to 0. This can be 



done exclusively (``mode='weeding'``) such that noise weights are either 



1 or 0, or in combination with weighting below the mediantimescutoff 



noise level (``mode='weighting'``). 



''' 







def __init__(self, nwindows, pre_event_noise_duration, 


@ 311,8 +312,8 @@ class NoiseAnalyserConfig(AnalyserConfig): 







cutoff = Float.T( 



optional=True, 



help='Set weight to zero, when noise level exceeds median by given ' 



'factor.') 



help='Set weight to zero, when noise level exceeds median by the ' 



'given cutoff factor.') 







def get_analyser(self): 



return NoiseAnalyser( 


