pyrad.proc.process_noise_power#

pyrad.proc.process_noise_power(procstatus, dscfg, radar_list=None)[source]#

Computes the noise power from the spectra

Parameters:

procstatus (int) – Processing status: 0 initializing, 1 processing volume, 2 post-processing

dscfg (dictionary of dictionaries) –

data set configuration. Accepted configuration keywords:

datatype : list of string. Dataset keyword
    The input data types
units : str
    The units of the returned signal. Can be 'ADU', 'dBADU' or 'dBm'
navg : int
    Number of spectra averaged
rmin : int
    Range from which the data is used to estimate the noise
nnoise_min : int
    Minimum number of samples to consider the estimated noise power
    valid

radar_list (list of spectra objects) – Optional. list of spectra objects

Returns:

new_dataset (dict) – dictionary containing the output
ind_rad (int) – radar index