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What is the justification for using the transpose of the sensitivity matrix as the inverse transform in the LBP algorithm?

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What is the justification for using the transpose of the sensitivity matrix as the inverse transform in the LBP algorithm?

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Although we have no means of knowing which pixels have contributed to the capacitance measured between any specific electrode-pair, we know from the sensitivity matrix S that certain pixels have more effect than others on this capacitance. Consequently, we allocate component values to each pixel proportional to the product of the electrode-pair capacitance and the pixel sensitivity coefficient for this electrode-pair. This process is repeated for each electrode-pair capacitance in turn and the component values obtained for each pixel are summed for the complete range of electrode-pairs.

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