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A general source parameter called the source descriptor is introduced.
Classification of emotional content of short Finnish emotional [a:] vowel speech samples is performed using vocal source parameter and traditional intonation contour parameter derived prosodic features.
A numerical time-discrete scheme to approximate the unique weak solution and the unknown source parameter is designed and convergence of the approximations is proved.
The effect of the micropolar parameter, heat source parameter, surface parameter and dissipation parameter on the velocity, micro-rotation and temperature functions have been discussed.
Using a recent multiscale data assimilation technique, we have computed optimal adaptive grids of the source parameter space by maximising the DFS.
If the data are of poor quality, uncertainties associated with the source parameter estimates may be large, necessitating further exploration (e.g., using mobile detection) in order to better isolate the putative source.
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Physical constraints from source parameters.
Interpolated estimation of Markov source parameters from sparse data.
Earthquake source parameters have been shown to be important for determining uncertainty in tsunami hazard.
The source parameters are restored from the converged modal amplitudes.
Good results of source parameters estimation have been achieved.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com