Sentence examples for equal root mean square from inspiring English sources

All the sentences were normalized to have equal root mean square magnitude and cut to a same length (about 2.6 s for each sentence) for consistency.

It was hypothesized that voices synthesized with steeper spectral slopes will be perceived as less loud than voices synthesized with less steep spectral slopes, in spite of the fact that they are of equal root mean square (RMS) amplitude.

The power of the songs from each bird was normalized to have equal root mean square power.

They recommend that for sample sizes such as ours, good fit is indicated if the comparative fit index (CFI) and Tucker Lewis index (TLI) are greater than or equal to.95, the root mean square error of approximation (RMSEA) is less than or equal to.06, and the standardized root mean square residual (SRMR) is less than or equal to.08.

It is usually assumed to be equal to the root mean square deviation of the sensor noise.

The results showed that the ISTDFA algorithm can generate daily synthetic Landsat imagery accurately, with correlation coefficient r equal to 0.9857 and root mean square error (RMSE) equal to 0.0195, which is superior to the STDFA method.

These models would be validated if the comparative fit index (CFI) and the incremental fit index (IFI) were equal to or greater than.90, the root mean square error of approximation (RMSEA) was less than or equal to.05, and 90% confidence interval (CI) of RMSEA ranged from 0 to 0.08 [ 22].

The site-specific k-NN WPFs showed the highest performance with root mean square error equal to 0.131 Mg ha−1 and 0.194 Mg ha−1 in 2013 and 2014, respectively.

Results showed a good correlation between resistivity and soil moisture measurements, revealing the capability of resistivity measurements to infer soil moisture spatial and temporal variability with a root mean square error equal, on average, to 4.4% vol/vol.

These results were processed in [26], deriving the recommendation to model the intra-cluster angle spread for azimuth and elevation angles for both the transmitter and receiver as independent normally distributed random variables with zero mean and root mean square (RMS) equal to 5°, N 0, 5°).

The typical AFM image of this layer with 0.33 nm thickness is shown in Figure 2. It shows that the root mean square is equal to 0.0955 nm at 350°C. Figure 2 AFM image from wetting layer Ge 0.96 Sn 0.04 with 0.33 nm thickness, grown at 350°C.