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Analytic sensing: direct recovery of point sources from planar Cauchy boundary measurements
Author(s) -
D. Kandaswamy,
Thierry Blu,
Dimitri Van De Ville
Publication year - 2007
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.733823
Subject(s) - cauchy distribution , computer science , inverse problem , boundary (topology) , boundary value problem , polynomial , electromagnetics , mathematics , planar , domain (mathematical analysis) , point (geometry) , algorithm , mathematical analysis , geometry , physics , computer graphics (images) , engineering physics
Inverse problems play an important role in engineering. A problem that often occurs in electromagnetics (e.g. EEG) is the estimation of the locations and strengths of point sources from boundary data. We propose a new technique, for which we coin the term “analytic sensing”. First, generalized measures are obtained by applying Green’s theorem to selected functions that are analytic in a given domain and at the same time localized to “sense” the sources. Second, we use the finite-rate-of-innovation framework to determine the locations of the sources. Hence, we construct a polynomial whose roots are the sources’ locations. Finally, the strengths of the sources are found by solving a linear system of equations. Preliminary results, using synthetic data, demonstrate the feasibility of the proposed method. Keywords: analytic functions, Laplace’s equation, annihilating filters, source localization

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