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Squared TOPS improves DOA estimation performance by using the squared matrix for orthogonality test instead of the matrix to be tested in the signal processing of TOPS.
Finally, we extract two AF from each 4D patient matrix by using the squared 4D Mahalanobis class distances as weights, and the disjoint positive/negative parts of the 4D class difference matrix as the domains of the weighted summation.
As previously reported[6], a cluster analysis was created by using the squared sum of z scores, in order to obtain an overall value of attention and executive function test.
Since MSEs penalized larger errors by using the squared term of errors, we also computed the MAE.
Using the hypothesis that heterosis is due to dominance, Amuzu-Aweh et al. [ 1] showed that by using the squared difference in allele frequency (SDAF) between parental pure lines, crossbred phenotypes can be partitioned into pure-line means and heterosis, even when pure-line phenotypes are unavailable.
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Linearity in the analytical blank was obtained by using the square root of absorbance (√Abs) in order to adjust the residues of the curve.
In this work, model parameters are identified online by using the square root unscented Kalman filter (SR-UKF) method to seek a variation in the fuel cell performances.
The inherent sampling errors can be reduced by using the square root EnKF of Section 5.2.
To avoid numerical instability in polynomial computation, the Racah polynomials are scaled by using the square norm and weighting function.
To enhance the performance, [15] extends the algorithm of [14] by using the square of the received samples instead of the samples themselves.
To avoid numerical instability in polynomial computation, the dual Hahn polynomials are scaled by using the square norm and the weighting function.
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