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These unknown parameters include the shear wave coefficients, the point spread function, and the hyper parameters.
1.5 coefficients is the limit for the outliers and over 1.5 coefficients the point is detected as an extreme value.
The key problem of medical CT image restoration and reconstruction by Bayesian compressed sensing is to establish an accurate prior distribution model, including sparse coefficients, the point spread function, model parameters, and so on.
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Let us stress out that the time-sharing coefficients are the point masses that we want to compute.
The prior models of the noisy projection, the unknown sparse coefficients, and the point spread function are related to the unknown model parameters.
In our case, the time-sharing coefficients relate to the specific corner points; that is, the coefficient defines the point, where user 1 choose the strategy and user 2 selects the strategy.
The network weights are equal to Walsh coefficients, the fixed point attractors are local maxima in the function, and partial sums across the weights of the network calculate averages for hyperplanes through the function.
Different a priori models are adopted to describe the sparse coefficient and the point spread function (h).
The mass transport coefficient of the point defect through oxide is determined through the Point Defect Model.
σ τ 0, r 0 Backscattering coefficient of the point target P τ 0, r 0. c Wave propagation speed.
For instance, the weighting coefficient of the point ((i+1,j)) is given by (a_{3}/a ), that of the point ((i-1,j)) by (a_{1}/a ), and so on.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com