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In the former, the blur kernels are estimated from a single image using parametric models for maximum a-posteriori estimation and in the latter the ill-posed problems in deconvolution are reduced by estimating the blur kernels from multiple images.
The sizes of the other four are estimated from a combination of distant images and their brightnesses, based on the assumption that they reflect about as much light as Proteus and Larissa about 7 percent.
The parameters are estimated from a Yamamoto plot and a gradient-adjusted Van Deemter plot.
The parameters of these distributions are estimated from a set of examples, the training set.
The characteristics of the debris are estimated from a couple of sources.
The cure kinetics parameters are estimated from a fitting procedure against the measured temperature.
The temperature and concentration profiles are estimated from a small number of temperature measurements.
The proposed approach requires the knowledge of the occurring faults which are estimated from a descriptor observer.
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The latter was estimated from a baseline.
The statistical parameters have been estimated from a master laminate.
Second, the static modulus of elasticity (Esta) is estimated from a 3-point microbending test.
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