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Compared to the MFCC and PLP baseline systems, the sine-weighted cepstrum estimator (SWCE) based multitaper method provides average relative reductions of 12.3% and 7.5% in equal error rate, respectively.
We should emphasize that the reported method provides average information within the complete pupil area; i.e, it is not spatially resolved.
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The methods provided average sensitivities of 98% and 99%, respectively, and positive prediction values of 100% on the total of 1434 respiratory cycles analysed from six different patients.
Experiments on a public dataset show that this method provides significant average quality improvement for streaming video applications.
We have validated the method by demonstrating that the model provides average kinetic and potential energies that are in agreement with the classical equipartition theorem and that the nodal velocities have the correct Gaussian distribution.
Alone, PET can provide a rough location for macrophage rich plaques and allow some quantitation, but typical plaques are much smaller than the resolution limit of PET, so this method provides only an averaged assessment over all plaques in a given volume, specific information about individual plaque vulnerability is not possible.
The DHM-TF method provided an average inherent bias correction for both uncalibrated and calibrated models in most basins examined.
This averaging method provides a higher signal-to-noise ratio than the traditional averaging of entire stimulation sequences, since the number of epochs included in the average is considerably higher (e.g. 16 times higher in this case).
The proposed method provides an accurate annual average cost of the ESS and is thus of great significance to accelerate the construction of the pricing mechanism of the frequency regulation ancillary service.
The empirical method provides more accurate prediction of average wind speed and power density than the graphical method (Jowder 2009).
The average orientations method provides the closest results to human perception, while the other algorithms proved themselves to be very competitive.
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