Automatic phase correction of Fourier-transform NMR data and estimation of peak area by fitting to a Lorentzian shape

1990 ◽  
Vol 62 (8) ◽  
pp. 864-867 ◽  
Author(s):  
F. Montigny ◽  
K. Elbayed ◽  
J. Brondeau ◽  
D. Canet
Keyword(s):  
Fourier Transform ◽  
Phase Correction ◽  
Nmr Data ◽  
Automatic Phase ◽  
Lorentzian Shape

A robust, general automatic phase correction algorithm for high-resolution NMR data

2017 ◽  
Vol 55 (8) ◽  
pp. 738-746 ◽  
Author(s):  
Vadim Zorin ◽  
Michael A. Bernstein ◽  
Carlos Cobas
Keyword(s):  
High Resolution ◽  
Phase Correction ◽  
Correction Algorithm ◽  
Nmr Data ◽  
Automatic Phase ◽  
High Resolution Nmr

scholarly journals Multi-node optical frequency dissemination with post automatic phase correction

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Liang Hu ◽  
Xueyang Tian ◽  
Guiling Wu ◽  
Mengya Kong ◽  
Jianguo Shen ◽  
...  
Keyword(s):  
Phase Correction ◽  
Optical Frequency ◽  
Automatic Phase

Automatic phase correction of common‐midpoint stacked data

Geophysics ◽  
1987 ◽  
Vol 52 (1) ◽  
pp. 51-59 ◽  
Author(s):  
S. Levy ◽  
D. W. Oldenburg
Keyword(s):  
Phase Correction ◽  
Well Logs ◽  
Seismic Section ◽  
Measured Velocity ◽  
Residual Phase ◽  
Automatic Phase ◽  
Frequency Independent ◽  
Independent Constant ◽  
Non Gaussian ◽  
Zero Phase

The residual wavelet on a processed seismic section is often not zero phase despite all efforts to make it so. In this paper we adopt the convolutional model for the processed seismogram, assume that the residual phase shift can be approximated by a frequency‐independent constant, and use the varimax norm to generate an algorithm to estimate the residual phase directly. Application of our algorithm to reflectivities from well logs suggests that it should work in the majority of cases so long as the reflectivity is non‐Gaussian. An application of our algorithm to stacked data enhances the interpretability of the seismic section and leads to an improved match between the recovered relative acoustic impedance and a measured velocity log.

Two-dimensional Fourier transform of arbitrarily sampled NMR data sets

2006 ◽  
Vol 179 (2) ◽  
pp. 323-328 ◽  
Author(s):  
Krzysztof Kazimierczuk ◽  
Wiktor Koźmiński ◽  
Igor Zhukov
Keyword(s):  
Fourier Transform ◽  
Data Sets ◽  
Two Dimensional ◽  
Nmr Data
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