Sentence examples for mixture processes are from inspiring English sources

Two example processes, the BTX and aliphatic compound mixture processes, are utilized for the evaluation.

Four representative noise models, namely, α-stable, generalized Gaussian, Student׳s t and Gaussian mixture processes, are investigated, and the corresponding variance expressions are derived for linear and nonlinear parameter estimation problems at p≥1.

Those of the side-stripper DWC for the aliphatic compound mixture process are 10.2% and 10.8% less, respectively.

As stated above, BASS attempts to obtain the original isolated sources s k (t) present in a certain signal x t), when the mixture process is unknown.

While the thermodynamic efficiency of the BTX process is 0.4%pointt higher than the conventional system, the efficiency of the aliphatic compound mixture process is 0.3% point lower.

This is in contrast with mixture models, where the mixture process is less intuitive.

As increasingly commented by the literature during the last 5 years, estimating the homogeneity of a powder mixture and following powder mixing processes is not a simple task.

The BASS techniques try to recover source signals from a mixture, when the mixing process is unknown.

In addition the amount of water trapped in the mixture after the mixing process was determined using thermogravimetric analysis.

The Student- t distribution and the mixture of Dirichlet processes are useful distributions in case of heterogeneity in the mean or variance of the biomarker measurements, or in case of outlying values.

Application of the treatment to problems of polymer solubility in mixed solvent and of solvent mixtures for separation processes are given.