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In all spectra, the real part of the time-domain quadrature signal was selected, background corrected in both dimensions using a low-order polynomial fit, zero-filled to 256×256 data points and apodised with a Hamming window function.
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The first algorithm downsamples a suspected image by a factor of two in both dimensions using an averaging filter.
The collected data was analyzed on multiple dimensions using a statistic analysis software program.
Here the method is extended to two space dimensions using a tensor product construction.
We simulate the fracture processes of ferroelectric polycrystals in three dimensions using a phase-field model.
The substrate is scanned in two dimensions using a piezo-stage.
We calculated the average fluorescence in 2 dimensions using a heat map to represent intensity.
The authors rated 27 potential measures on 13 dimensions using a five-point Likert scales.
Jaw movement was tracked in three dimensions using a motion capture system, Vicon 460 [ 63].
Lin et al. used 160,000 original features and reduced them to 1302 dimensions using a confidence parameter.
Participants then rated each value (in a randomized order) along four dimensions using a 6-point Likert scale (see below).
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