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For both cases, the main physical principles and geological data were applied for formulation of the model and characteristics of the computed signals of different nature agree with measurements of other authors.
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We computed signal detection theoretic measures of discrimination and bias in participants' responses by considering "yes" responses to related proverbs to be hits and "yes" responses to unrelated proverbs to be false alarms (Green & Swets, 1966).
We computed signal-to-noise ratio (SNR) of SSVEPs and used partial least squares regression to model hit rates, SNRs and their relationship at 3 Hz and 8.6 Hz.
Elmore delay metric is a widely used model to compute signal delays for both analog and digital circuit interconnects.
In this work, we exploit the idea of using SVD decomposition to compute signal subspace and eliminate additive noise.
We compute Signal to Noise Ratio (SNR), which represents the climate change signal in simulations with respect to the noise arising from multi-model uncertainty.
Results of tensile testing corresponding to orthogonal array were used to compute signal-to-noise ratios for optimal combination of parameters.
The latter uses these to compute signal-to-interference and noise ratios (SINR) for the different links between base stations and UEs, taking into account the geographical information about the network, path-loss, shadowing, fast fading, inter-cell interference, etc.
To compute signal, we concatenated the unit's forced and free response vectors then took the range of this vector.
Such larger loops are thought to assemble crucial parts of molecular 'nanocomputers', which compute signaling input from environment-sensing transmembrane receptors [ 19, 20, 33] (and Figure 1).
Signal to noise ratio was measured by computing signal power, s, from the contrast variance of the signal (filtered action video) and noise power, n, from the contrast variance of the noise (filtered Gaussian fields), and dividing s by n.
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