Sentence examples for transform to characterize from inspiring English sources

In this research, we have introduced curvelet transform to characterize scale-dependent anisotropic soil spatial variation.

The first classifier uses the short-time Fourier transform to characterize the patterns, while the second uses the chirplet transform.

After the RESET process with a positive bias, the device switching mode has been completely transformed to filamentary, characterized by the sharp SET (current control) and RESET transitions.

Upon stimulation, dendritic cells transform to a mature phenotype characterized by high levels of class II major histocompatibility complex (MHC class II) and co-stimulatory molecules with low phagocytic capacity.

Selected area electron diffraction (SAED) pattern and lattice image coupled with two-dimensional Fourier transform and inverse transform were used to characterize surfaces, planar defects, and preferred orientation, if any, of the phases.

> -wrap-foot> We have used the Discrete Fourier Transform (DFT) to characterize the periodicity observed in the plots of the relative error for the coding regions (Figs. 5 and 6). Figure 7 shows the spectrum of the relative error for the coding regions of the human genome and Figure 8 shows the spectrum of the complete human genome.

Secondly, continuous wavelet transform was applied to characterize the temporal variability of the inter-relationships involved.

Wavelet transform is able to characterize the fabric texture at multiscale and multiorientation, which provides a promising way to the classification of fabric defects.

The damping in this structure is found to be significantly nonlinear and a Hilbert transform is used to characterize the damping versus amplitude behavior.

A time-frequency analysis by continuous wavelet transform (CWT) was performed to characterize the acoustic noise, which determined the cause of the acoustic signal was cavitation.

Moreover, Lomb Scargle periodogram (LSP) and Wavelet transform techniques are employed to characterize the semi-annual, annual and quasi-biennial oscillations to diagnose the wave dynamics in the stratosphere-mesosphere system.