dp5.nmr_processing.proton.fid_corrections

Functions

ACMEWLRhybrid(y, corr_distance)	Hybrid ACME-Weighted Linear Regression phase correction algorithm
baseline_find_signal(y_data, cdist, dev, t)
estimate_autocorrelation(total_spectral_ydata)
gen_baseline(y_data, sn_vector, corr_distance)
ps(param, im, real, phase_order)
spectral_processing(total_spectral_ydata)	Arguments: - ydata: complex array with frequency-domain FID data Returns: - tydata (np.array): phased and baseline-corrected frequency data – corr_distance (int): autocorrelation distance – sigma (float): standard deviation of noise – peak_regions(np.array[np.array]): regoins containing peak signals