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A spectral correction gain, obtained via the estimated blocking filters, is thus employed in each case to undo this filtering effect.
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Figure 1 A typical simulation result with different estimated block-sparsity.
Step 1. Initialize x ( 0 ) = arg min x ∥ y - Φ x ∥ 2 2 and k ̂ be the estimated block-sparsity.
This short-term model is created by the mining engineers, based on applying the defined block geometries (Fig. 2) on the company's estimated block model.
We formalize such reweighted algorithm as the following: Step 1. Initialize x ( 0 ) = arg min x ∥ y - Φ x ∥ 2 2 and k ̂ be the estimated block-sparsity.
For subsequent blocks, processed in a horizontal raster scan order, we use the average of the estimated PSFs for previously estimated blocks above and on the left (or only one of them, for the first row or the first column).
Generally, the goal of motion estimation is to minimize a cost function that measures the prediction error, that is, how similar the original blocks and the estimated block are.
The co-located pixels in the estimated blocks R ̃ k = 0, m i - v k = 0 i, R ̃ k = 1, m i - v k = 1 i serve as potential temporal predictors for the current motion-compensated pixel position.
The variability of the number of estimated blocks was assessed via the coefficient of variation (CV).
The number of estimated blocks was 114 with r2 and 215 with | D'|, including singletons.
To account for the potential instability of estimated blocks when small sample sizes are taken [ 20], we also examined large sample sizes.
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