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The spectral envelope is obtained by using linear prediction based on the Laguerre systems [40].
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For better prediction performance, Yan and Wang proposed a prediction-error expansion method using linear prediction [19] which used past eight samples for prediction and the prediction coefficients were integers and the order was fixed.
85 by using linear interpolation.
Finally, the HF-MDCT coefficients are recovered by using non-linear prediction point by point until the frequency reaches up to the cutoff frequency 14 kHz.
The application of CS to genomic prediction (using linear models) and GWAS has been described in an earlier paper by one of the authors [ 6].
The objective of this study was to investigate the accuracy of multi-line genomic prediction using non-linear models by kernel learning and a linear model that modelled trait by line combinations as separate but correlated traits, and to compare the prediction accuracy of these models to that of commonly used linear genomic prediction models presented by Calus et al. [ 22].
A flexibility matrix using piecewise incremental responses offers improved predictions over one using linear methods (p<0.01).
However, since the WZ codec requires long codes, it is not possible to apply linear prediction, pixel by pixel, using the neighboring spatially correlated pixels.
We compared concurrent 24-h PM2.5 concentrations measured by monitors with SFS predictions averaged within a ten-mile radius of each monitoring site using linear regression [ 22].
The breeding values were derived from height growth and estimated by using the best linear prediction method (White and Hodge 1989).
Trend was analyzed using linear-by-linear association test.
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