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Peleg and Friedlander [12] modeled the phase perturbation using a polynomial phase with constant magnitude.
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The growth rate and lag phase durations under the modified atmospheres were successfully described using a polynomial equation (R2 > 0.97).
Phase offset artifacts of the residual water resonance were manually corrected using a polynomial of degree 5 least square fit filtering of the free induction decay (FID) [ 12].
The stress strain curves were approximated using a polynomial equation.
This was corrected for, using a polynomial function.
A detrending function using a polynomial regressor was applied to cancel out the DC shifts.
We analysed rank order categorical data using a polynomial regression model.
The best fit to the data points was obtained using a polynomial trend line.
Lu et al. [13] presented a polynomial phase signal (PPS) [14] method to compensate ionospheric phase contamination.
We used a polynomial regression to analyze the relationships.
We used a polynomial kernel function of degree 2, a c-value of 1.0, and a context window of +/−2.
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