Sentence examples for transform variations from inspiring English sources

W n X (s ) = δ t s ∑ n ′ = 1 N X n ′ ψ 0 [ (n ′ - n ) δ t s ] Wavelet power is calculated as follows (12): ∣ W n X (s ) ∣ 2 Figure 6 shows DTR >10°C wavelet transform variations.

By means of a numerical inversion of the Laplace transform, the variations of the normalized intensity factors of stress and COD are discussed against applied magnetoelectric impact loadings and the geometry of the cracks for fully impermeable, vacuum, fully permeable cracks and shown in graphics.

This result is a joint strengthening of the corresponding bounds for the classical Carleson operator, the bilinear Hilbert transform, the variation norm Carleson operator, and the bi-Carleson operator.

DNA sequences submitted to GC-biased gene conversion can therefore be considered as low-pass filters transforming temporal variations in meiotic DSB frequency into temporal variations in GC content.

The lowest variation between hospitals was observed for Slovenia (variance after transform, 3%), and variation was also low in France (variance after transform, 5%).

Selection at the individual level contributes to trait variation between species by transforming intraspecific variation into species differences that might result in species selection.

As Rabosky and McCune (2010) put it … Selection at the individual level contributes to trait variation between species by transforming intraspecific variation into species differences that might result in species selection.

These variations transform the simple (O(N^{2})) shared time-step implementation in a complex method, where the amount of parallelism can differ per time-step.

AFT represents a general chirp-based transform and other variations such as the fractional FT (FrFT) with optimal parameters can be also implemented in channel with the same effectiveness.

From the frequency spectrum at a point, one can then calculate by Fourier transform the temporal variations of the sound pressure created by a noise source moving in a direction parallel to the barrier.

In this study, we compare three methods for automated geomagnetic storm detection: a method analyzing the first derivative of the geomagnetic variations, another looking at the Akaike information criterion, and a third using multi-resolution analysis of the maximal overlap discrete wavelet transform of the variations.