This can be achieved by applying a multiharmonic stimulus and using least-squares estimation algorithms to extract the amplitude and phase of each frequency component.
ShakeMap-based shaking estimates are used in concert with loss estimation algorithms to estimate fatalities and economic losses after significant seismic events around the globe.
We can use maximum likelihood estimation algorithm to estimate the Gaussian parameters for each class from training points.
This model is used by a depth estimation algorithm to interpolate a small number of focus measure values and obtain accurate depth estimates.
In this section, we use the maximum-likelihood (ML) estimation algorithm to perform target radar cross section (RCS) parameter estimation [23] in the proposed RSN model.
By doing so, regardless of the estimation algorithm to be used, a guaranteed transient performance and final tracking accuracy can be achieved even in the presence of disturbances and uncertain nonlinearities, a desirable feature in applications.
The corrected images were analyzed using a previously described maximum-likelihood estimation algorithm to localize well-defined single emitters (Smith et al., 2010).
On the basis of a clear understanding of analytical procedures that are repeatedly taking place during the estimation processes, researchers would be able to use different estimation algorithms and empirically modify/improve some portions of estimation processes.
Clearly, many parameter estimation algorithms used to characterize the dynamic behavior of a structure, which are based on the assumption of prior knowledge of the input force in their formulations, may give poor results.
We use established estimation algorithms (Ohser and Mücklich, 2000) and implement them (Falconer et al., 2012) to characterise 3D morphology of porous media and the simulated distribution of both water and fungal biomass within the pore space.
