dic : dict
Dictionary of NMRPipe parameters.
data : ndarray
pred : int
Number of points to predict, “default” chooses the vector size for
forward prediction, 1 for backward prediction
x1 : int or ‘default’
First point in 1D vector to use to extract LP filter. ‘default’ will
use the first or last point depending on the mode.
xn : int or ‘default’
Last point in 1D vector to use to extract LP filter. ‘default’ will use
the first or last point depending on the mode.
ord : int
Prediction order, number of LP coefficients used in prediction.
mode : {‘f’, ‘b’, ‘fb’}
Mode to generate LP filter, ‘f’ for forward,’b’ for backward, ‘fb’ for
forward-backward.
append : {‘before’ or ‘after’}
Location to append predicted data, ‘before’ or ‘after’ the existing
data.
bad_roots {‘incr’, ‘decr’, None, ‘auto’} : :
Type of roots which are will be marked as bad and stabilized. Choices
are ‘incr’ for increasing roots, ‘decr’ for decreasing roots, or None
for not root stabilization. The default ‘auto’ will set this parameter
based upon the LP mode parameter: ‘f’ and ‘fb’ will results in an
‘incr’ parameter. ‘b’ in ‘decr’.
mirror : {‘90-180’, ‘0-0’, None}
Mirror mode, option are ‘90-180’ for a one point shifted mirror image,
‘0-0’ for an exact mirror image, and None for no mirror imaging of the
data.
fix_mode : {‘on’, ‘reflect’}
Method used to stabilize bad roots, ‘on’ moves bad roots onto the unit
circle, ‘reflect’ reflect bad roots across the unit circle.
method : {‘svd’, ‘qr’, ‘choleskey’, ‘tls’}
Method to use to calculate the LP filter.
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