data_operations.robust_power_filter#

Back to Module page

Summary#

Signature#

def robust_power_filter(times, power_sequence, mask_times, avg_len, avoid_len = 1)

Input variables#
Name	Type	Default	Description
`times`			Array with central times of intervals in which power was measured
`power_sequence`			Array with measured power in intervals
`mask_times`			Boolean mask indicating whether interval sees an existing hole
`avg_len`			Number of intervals that moving average test spans
`avoid_len`		1	Excess power is correlated, avoid these many intervals around central one

Output variables#

Return annotation	Docstring type	Description
`None`		Array with central times, excess power with moving average subtracted, and Boolean mask into times

Docstring#

:param times: Array with central times of intervals in which power was
              measured
:param power_sequence: Array with measured power in intervals
:param mask_times: Boolean mask indicating whether interval sees an
                   existing hole
:param avg_len: Number of intervals that moving average test spans
:param avoid_len: Excess power is correlated, avoid these many intervals
                  around central one
:return: Array with central times, excess power with moving average
         subtracted, and Boolean mask into times