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An adaptive algorithm allows the analyst to build up a PC-based metamodel that only contains the significant terms whereas the PC coefficients are computed by least-square regression using a computer experimental design.
These coefficients are computed numerically.
The regression coefficients are computed using sampling weights.
LPC coefficients are computed by using following equation.
The crucial point is that the wavelet coefficients are computed without differencing function values across jumps.
Stability numbers for different seismic coefficients are computed and compared with other existing solutions.
In this case, four reflection coefficients are computed considering AR (4) system.
(phi_{kappa}) coefficients are computed to maximize the quality of the prediction on the learning set.
The filter coefficients are computed on the base of normalized Doppler frequency.
Local Fourier coefficients are computed, while their phase information results in binary coefficients after scalar quantization.
Mel frequency cepstral coefficients and linear predictive coding coefficients are computed using the following methods.
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