processing_components/simulation/rfi.py
def calculate_averaged_correlation(correlation, time_width, channel_width):
    """ Average the correlation in time and frequency
    
    :param correlation: Correlation(nant, nants, ntimes, nchan]
    :param channel_width: Number of channels to average
    :param time_width: Number of integrations to average
    :return:
    """
    wts = numpy.ones(correlation.shape, dtype='float')
    return average_chunks2(correlation, wts, (time_width, channel_width))[0]
 Average the correlation in time and frequency
    
    :param correlation: Correlation(nant, nants, ntimes, nchan]
    :param channel_width: Number of channels to average
    :param time_width: Number of integrations to average
    :return:
    
Average the correlation in time and frequency
Average the correlation in time and frequency
def calculate_averaged_correlation(correlation, time_width, channel_width):
    wts = numpy.ones(correlation.shape, dtype='float')
    return average_chunks2(correlation, wts, (time_width, channel_width))[0]
def calculate_averaged_correlation ( correlation , time_width , channel_width ) : wts = numpy . ones ( correlation . shape , dtype = 'float' ) return average_chunks2 ( correlation , wts , ( time_width , channel_width ) ) [ 0 ]
Average the correlation in time and frequency
Average the correlation in time and frequency
""" Average the correlation in time and frequency
    
    :param correlation: Correlation(nant, nants, ntimes, nchan]
    :param channel_width: Number of channels to average
    :param time_width: Number of integrations to average
    :return:
    """
None
correlation
Correlation(nant, nants, ntimes, nchan]
Correlation ( nant nants ntimes nchan ]
time_width
Number of integrations to average
Number of integrations to average
channel_width
Number of channels to average
Number of channels to average