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(a) represents the mode excitation factor modulus (no sign information) and (b) shows the mode excitation factor modulus combined with sign information.
The amplitude of the transform for each curve (dispersive mode) depends only on the mode excitation factor modulus.
We demonstrate that adding the mode signs to the mode excitation factor modulus improves significantly the localization performance in depth.
After modal filtering, the mode excitation factor modulus of each mode is calculated as a mean over the region.
In (a) the contrast function G is calculated at the basis of mode excitation factor modulus, and in (b) the mode sign information is integrated.
That line does not exist for the method with mode signs, as the "mirror solutions" are cancelled by adding mode signs to mode excitation factor modulus.
Similar(50)
Mode excitation factors and mode phases analysis allow, respectively, localization in depth and distance.
For depth localization an estimation of mode excitation factors is needed.
The combination of mode excitation factors with mode signs allows canceling secondary peaks in the correlation function.
The principle is based on comparison (by a contrast function) of mode excitation factors extracted from real data with a set of mode excitation factors (for simulated source depths) extracted from replica data (modeled with Moctesuma).
The result is obtained by the application of (27) to mode excitation factors directly taken from Moctesuma simulations.
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