def fit_clock_offsets(x, y, width):
drifts, offsets = util.windowed_least_squares(x, y, width)
del drifts
mask = numpy.abs(y - offsets) > arguments.outlier_threshold
del offsets
return util.windowed_least_squares(x, y, width, mask)
def fit_clock_offsets(self, x, y, width):
""" Generate clock offsets to fit the idealized pseudoranges.
x, y -- data points
width -- width of the sliding window.
"""
drifts, offsets = util.windowed_least_squares(x, y, width)
del drifts
mask = numpy.abs(y - offsets) > self._outlier_threshold
del offsets
return util.windowed_least_squares(x, y, width, mask)