If that momentum had been missing, stripe theory would be dead, says Steven Kivelson, a physicist at the University of California, Los Angeles, and an originator of the theory.
We also provide the missing convergence theory for it.
The missing feature theory (MFT), initially proposed for enhancing the robustness to additive noise, is extended to dereverberation.
The proposed method achieves significant performance improvement in presence of narrow-band noise when clubbed with missing feature theory based score computation scheme.
Furthermore, we extend the missing feature theory (MFT), which was initially proposed to enhance the robustness of additive noise, to dereverberation.
We also investigate the use of missing feature theory (MFT) [16] to enhance the robustness to noise, in combination with GSS, since the reverberation cannot be suppressed completely owing to the estimation error of the impulse response.
In Mplus the default option, which was adopted in the present analyses, estimates a model applying missing data theory and thus using all available data (Muthén and Muthén 2012).
Far from being an exhaustive description of the just-opened novel field of ES-assembled peptides, this seminal work aims at shining a light on a still missing general theory for the production of electrospun peptidic biomaterials bringing together the spatial, biochemical and biomimetic of these two techniques into unique scaffolds for tissue engineering.
Instead least squares methods are used, but these methods are not compatible with important concepts of the missing data theory.
To resolve this anomaly, in MAS 5.0, Affymetrix computes an "ideal mismatch" (IM) based on missing data theory such that PM-IM is always greater than zero [ 1].
