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The values were compared to one another in hopes to characterize scale bar placement.
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In this research, we have introduced curvelet transform to characterize scale-dependent anisotropic soil spatial variation.
This behaviour is in agreement with the fault tolerance properties that characterize scale-free networks [ 11].
Continuous wavelet transform (CWT) has been used in characterizing scale-specific variations in spatial or temporal domain as well as in image analysis.
In fact, to characterize the scale of correlations perpendicular to the growing direction, the correlation frequency can be used.
Wavelet entropy is a recently proposed nonparametric measure to characterize large scale brain responses [43].
Wavelet entropy is a newly proposed measure to characterize large scale brain responses, which quantifies the degree of order/disorder associated with a multi-frequency signal response.
Thus, the measurement of volume increase is the way to characterize the scale of cavitation.
An analysis path is thus considered to be a progressive information transformation of the time data including up to five stages – data characterizing, scale transformation, data shaping, statistical analysis method application and result presentation.
BioMy research focuses on the use of satellite remote sensing technology to characterize multi-scale patterns of terrestrial biodiversity.
Here we review our recent efforts to accurately characterize these scaling trends and explain them in functional terms.
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