Sentence examples for deviation spectrum from inspiring English sources

Exact(2)

This average was used to calculate a standard deviation spectrum for each stimulus type.

The standard deviation spectrum was smoothed with a 200-Hz window to produce an estimate of the standard deviation of the noise floor of the spectrum.

Similar(58)

The AnxA5 tracer appears to be more homogenously distributed into the tissue while there is an increased frequency and a broader spectrum of uptake deviations in the mTrx-GFP (Fig. 3c, d).

The FCC's deviation from the spectrum auction process that has proven to be so successful in the past could prohibit those benefits from being even more fully realized, and that's unfortunate.

For this analysis, cumulative sum charts were determined by plotting the sequentially summed deviation of each spectrum from the average determined for the whole record (total of 11 s).

We first introduce a threshold σθ=θσ a to select spectral amplitudes above the threshold μ a + θσ a where the real number θ is the only fitted parameter of REPETITA, μ a is the average and σ a is the standard deviation of each spectrum (a=1,…, 5).

Checking existence of flatlines, outliers or single spectra with remarkable peaks differing from the other spectra was done, taking into account that mass deviation within the spectra set should be less than 500 ppm.

For the statistical correlations, we binned the H spectra using an open source optimized bucketing algorithm described by Sousa et al.C spectra were peak picked by setting all resonances below 2× the standard deviation of all spectra to zero, finding local maxima, and then merging peaks within 0.2 ppm together.

These histograms more readily visualise the frequency of deviations, the groups of deviations and the breadth of the spectrum of deviations.

After a single 1C cycle a deviation in the spectra compared to the relaxed state is detectable for up to 40 hours.

Further a deviation in the spectra is seen in the NIR area and below 435 nm. Figure 9 shows a score plot (PC1 versus PC2) of a PCA of the entire dataset after autoscaling.

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