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The data processing passed through various steps, starting by converting the corrected TMI data from the space domain to a frequency domain, using Fast Fourier Transformation FFTT).
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These artificial data were passed through the same processing steps as the real data to derive estimated 'noise' correlations for each subject.
The experimental (Fig. 1e) and simulated (Fig. 1c) data are passed through the same NMR signal processing application, and processed in an equivalent manner.
The waveform data are passed through a band-pass filter of 1.5 2.5 Hz.
It also describes the logical layout of the network and how data is passed through it.
Selected by mass, the remaining data were passed through linear regression analyses.
Seismic coloured inversion is similar to seismic processing in approach whereby the seismic data passed through white spectrum during deconvolution.
It should be noted that once transformed, the data can be passed through additional filters and image processing routines to further improve the information content.
The data collection process is passed through the institutional review board.
Fourier analysis was performed on 2-min segments of detrended data passed through a Hamming window.
The adjusted data are then passed through an aggregate function providing adjusted cost per equivalent separation.
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