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The structure has been predicted several years ago [25] using a grid based systematic search approach [3] and experimental data is available that supports the original prediction [26].
Using a Grid based system architecture efficiently integrates and shares geographically distributed resources as well as modeling procedures built on different platforms.
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For a minimum set of sites, it is recommended to use a grid, based on the distribution of existing PSM sites.
Even if we use a grid based exhaustive search method to detect a source at all possible source locations on the grid, we still have to assume knowledge of the signal variance and calculate a different threshold for each possible source location.
The CRLB for model parameters are compared with simulation results using a grid-based approach for estimation.
The activity state space is finite and discrete and can thus be estimated optimally using a grid-based filter [13].
This compares with the 46 and 79 plots, respectively that would have been required to meet the same target using a grid-based sampling procedure.
In previous work, we have developed a concept for up-scaling pore-scale molecular diffusion coefficients using a grid-based model for the sample pore structure.
The method is validated by comparing the process damping posterior values to residual sum of squares results using a grid-based experimental design approach.
The reference-shape-derived conformer alignment yielding the largest AB combo value is used in a final AB shape overlap computation, this time not using a grid-based approach.
The discrete path activity parameters are in turn estimated conditionally on the delays and the delay rates using a grid-based method [13], which is appropriate to optimally estimate a discrete state space.
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