Abstract
The paper discusses tomography reconstruction of distributed physical field parameters by means of fiber optical measuring system based on distributed fiber optical measuring network. Measuring network represents a set of fiber-optical measuring lines stacked in accordance with a certain setup on the surface studied. This work considers the case of parallel non-equidistant measuring lines stacking schemes which requires application of generalized sampling theorems. Two restoration methods are proposed, algebraic and neural-like. The approach whose novelty involves measuring network data structurization for computing process optimization and further application of neural or algebraic technologies to restore a full image of the functions studied is presented.
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