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Prior to Fourier transformation (FT), the 1D FIDs were zero-filled to 64K data points which provided sufficient data points for each resonance, and a line broadening factor of 0.3Hz was applied.
Prior to Fourier transformation, a Lorentz to Gauss transformation with a line broadening factor of of −10 Hz and a GB of 0.1 was applied in the direct dimension, while in the indirect dimension data were linearly predicted, using 30 poles, and then multiplied with a squared sine bell function, shifted by π/2.
Similar(58)
It is shown that when the diffusion broadening factor is smaller than the maximum velocity, the broadening has little effect on the determination of the maximum velocity.
To explain the phenomenon, the FWHM broadening factors of ω-scan will be discussed in the following section.
Prior to Fourier transformation, the free induction decays were multiplied by an exponential weight function corresponding to a line-broadening factor of 0.3 Hz. 5 µl of each CSF sample was applied to protein chips with different chemical properties at various pH conditions.
A line-broadening factor of 1 Hz was applied to FIDs before Fourier transformation.
A line-broadening factor of 0.3 1.0 Hz was applied to the free induction decay before Fourier transformation.
The FIDs were zero-filled to double size and multiplied by an exponential line-broadening factor of 0.5 Hz prior to Fourier transformation (FT).
Raw data were processed by a standardized automated protocol using an exponential function with a line-broadening factor of 0.3 followed by automatic phase and baseline correction.
Sixteen scans of 200,704 points covering 18,028 Hz were recorded and zero filled to 262,144 complex points prior to Fourier transformation; an exponential window function was applied with a line-broadening factor of 1.0 Hz.
This could be explained by the broad size distribution of the nanoterraces on (210) serving as another broadening factor in addition to the intrinsic electron phonon scattering.
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