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A number of proposals for generating smaller beams are in various stages of development.
This has motivated different proposals for generating pilots [17, 18] compatible with the filter bank class of interest.
On the other hand, there are several proposals for generating an automatic usability analysis that can be used by designers or end-users.
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Sophisticated prognostic models of land competition that could be employed to provide forward-looking baselines of deforestation pressures (Obersteiner, M. et al.: Avoiding REDD hot air – an IIASA proposal for generating standardized and globally consistent national reference scenarios that maximize sustainability, submitted) require a lot of data streams to be assimilated in these models.
These observations can be used to evaluate recent academic proposals of methods for generating controllers for machines, as well as suggesting new methods.
Combined with HOSPoF, this random sigma point generation algorithm provides a new method for generating proposal density which propagates the information about higher order moments.
The procedure for generating new proposals under slice sampling is a three-step process.
In this paper, a novel approach for generating the proposal distribution based on a Constrained Unscented Kalman filter is proposed.
Here a fast and effective method for generating the proposal distribution is derived on the basis of the extended H∞ filter.
In this paper, a novel approach for generating the proposal distribution based on a constrained Extended Kalman filter (C-EKF), Constrained Unscented Kalman filter (C-UKF) and constrained Ensemble Kalman filter (C-EnkF) has been proposed.
The concepts of emergence, supervenience and downward causation are related metaphysical tools for generating and evaluating proposals about unity and reduction in the sciences.
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