nmrglue.process.proc_lp.lp_model

nmrglue.process.proc_lp.lp_model(trace, slice=slice(None, None, None), order=8, mode='f', mirror=None, method='svd', full=False)

Use Linear Prediction to model a 1D NMR signal.

Parameter:

• trace 1D trace of data, the FID.

• slice slice object selecting region of slice to use in LP equation.

• order Prediction order (Number of LP coefficients)

• mirror None to process trace as provided, ‘0’ or ‘180’ forms a mirror

  image of the sliced trace to calculate the LP filter. ‘0’ should be used with data with no delay, ‘180’ with data with an initial half-point delay.

• mode Mode to generate LP filter (f-forward,b-backward,

• method Method to use to calculate the LP filter, choose from

  ‘svd’,’qr’,’choleskey’,’hsvd’.

• full Set to True to return amplitudes and phases calculated

  by performing a least squares fitting. False returns only the damping (relaxation) factors and signal frequencies

Returns: when full==False: (damp,freq)

when full==True: (damp,freq,amp,phase)

• damp List of damping factors
• freq List of frequencies
• amp List of amplitudes
• phase List of phases

Notes:

When backward LP is used the signal roots are reflected before calculating model parameters.