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The main axis identification can then be efficiently performed by applying steps 1 3 on the selected pairs.
y ij the signal after applying steps 1 4, then we have the statistical dependency x ij → y ij → z ij.
By applying steps 2 to 8 for a representative set of pulses, the average of Q tot_min and Q tot_max (weighted to the ratio of pulse types, if necessary) can be quantified.
If these are genuine yellow event frames, then after applying steps 1 to 6d, almost similar images are produced consisting of one connected component at the place of the yellow card.
But as each daily execution of the FTMM chain shares most of these data with the previous execution, there are significant efficiencies to be gained by applying Steps 1 to 5 only to the new data.
Hence, applying Steps 1 3 above, it has the state-space representation x t + 1 = 1 2 ( e 3 + e ) x t + 1 2 ( e 3 − e ) x t ∗ + w t (26).
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Now, by applying step (2) to the same columns, we can obtain the remaining unknown blocks.
Method (3) After applying step (2), the blocks that contain diamonds in Figure 2 are spotted.
In Figure 2, blocks that contain circles are obtained by applying step (1), and those containing diamonds are obtained by applying step (2) to Figure 1. Figure 2 Blocks containing circles are obtained by applying step (1), and those with diamonds are obtained by applying step (2) to Figure1.
Then, by applying step (1) to the same rows, the remaining unknown blocks are extracted.
Performance of the sensing system was calibrated by applying step by step load on FBG pressure sensors.
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