Sentence examples for trace is computed from inspiring English sources

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The Doppler spectrogram of each radar trace is computed using the STFT with a hamming window.

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The representative trace was computed by averaging 11 traces from CDPs 24,000 to 24,010.

In a few simulations (Fig. 3D), the cytoplasmic calcium concentration [Ca2+]in in the model was varied and the firing frequency of the simulated trace was computed for each of these values.

To provide a fair comparison, the 'sp' trace was computed the same way, after substituting the ΔF/F signal of all the stimulus-evoked calcium events in a given dendrite with the normalized ΔF/F signal corresponding to the average spontaneous calcium event for that dendrite.

In the first step, AI was computed using the velocity and density of each layer, which was obtained from the density and velocity model (Table 7), and then, it was convolved with zero phase wavelet to generate synthetic seismic trace, AI is computed using the following equation: {text{AI}} = V_{text{p}} times rho (27 where (V_{text{p}}) is the result of seismic data processing.

The 'verb trace' feature is computed in a similar manner, except that we collect the POS tags of the verbs appearing in the corresponding paths.

The 'preposition trace' feature is computed by (i) collecting the list of prepositions along the path from e1/ e2 to the root of its syntactic parse tree and (ii) concatenating the resulting lists computed from e1 and e2.

The mean size (calculated over the whole traffic trace) of the list LFPM is computed for different values of m, (m=16,32,64,…2,048).

The multiplier norm is computed in terms of trace norms of appropriate trace operators.

Before the spectrogram is computed, the radar trace is downsampled by a factor of two to reduce the amount of data to be processed.

The RV coefficient is a measure of the correlation between two or more sets of landmark coordinates and a multivariate generalization of the correlation coefficient R. The RV coefficient is computed as the trace of the squared covariance matrix between the two sets of landmarks scaled by the square root of the squared variance and covariance within the two partitions (Klingenberg 2009).

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