Sentence examples for smoothing of data from inspiring English sources

It is shown how the possibility to efficiently identify localized damages by CWT comes up from the intrinsic capability of the wavelets to collect several mathematical tools in only one mathematical aspect: derivatives, convolution and appropriate smoothing of data are translated into the CWT.

We assessed the influence of several factors on the modeling results: the value for the fractional blood volume in tissue, precision of timing and calibration, smoothing of data, correction for blood cell uptake of FDG, and protocol for FDG administration.

Smoothing of data also influences the results of VBM analyses.

Peaks of firing were determined after smoothing of data (rloess, MATLAB) and fitting with a sinusoidal function.

This precludes the need for spatial smoothing of data, which can hinder the sensitivity and interpretation of the results (Jones et al., 2005; Smith et al., 2006).

While this manuscript focuses on unsmoothed use of MIP CN data, smoothing of data over adjacent markers can improve false positive (FP) and negative (FN) rates at the cost of reduced resolution along the genome.

This two-step procedure was applied to all frequencies, resulting in significant smoothing of the data, but even with this screening method the data corresponding to the dead band (0.31, 0.16, 0.08, and 0.04 Hz) were still scattered.

Smoothing of the data to reduce the effect of seasonality in the data (53-point weighted moving average) demonstrates a generally decreasing trend in the number of cattle imports since 2002.

This includes the removal of "error" data points and dehydration stage from original TGA data, transformation of TGA data to conversion data, differentiation of conversion data and smoothing of derivative conversion data, interpolation of conversion and derivative conversion data, isoconversional calculations, and reconstruction of kinetic process.

Usually SVM classification is performed without smoothing of the data, because single voxels are assumed to contain information, for example, for prediction of future action based on functional MR images.

Teanby, N. Constrained smoothing of noisy data using splines in tension.