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Proceedings Paper

Coherent source imaging and dynamic support tracking for inverse scattering using compressive MUSIC
Author(s): Okkyun Lee; Jong Min Kim; Jaejoon Yoo; Kyunghwan Jin; Jong Chul Ye
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Paper Abstract

The goal of this paper is to develop novel algorithms for inverse scattering problems such as EEG/MEG, microwave imaging, and/or diffuse optical tomograpahy, and etc. One of the main contributions of this paper is a class of novel non-iterative exact nonlinear inverse scattering theory for coherent source imaging and moving targets. Specifically, the new algorithms guarantee the exact recovery under a very relaxed constraint on the number of source and receivers, under which the conventional methods fail. Such breakthrough was possible thanks to the recent theory of compressive MUSIC and its extension using support correction criterion, where partial support are estimated using the conventional compressed sensing approaches, then the remaining supports are estimated using a novel generalized MUSIC criterion. Numerical results using coherent sources in EEG/MEG and dynamic targets confirm that the new algorithms outperform the conventional ones.

Paper Details

Date Published: 27 September 2011
PDF: 7 pages
Proc. SPIE 8138, Wavelets and Sparsity XIV, 81380G (27 September 2011); doi: 10.1117/12.893457
Show Author Affiliations
Okkyun Lee, KAIST (Korea, Republic of)
Jong Min Kim, KAIST (Korea, Republic of)
Jaejoon Yoo, KAIST (Korea, Republic of)
Kyunghwan Jin, KAIST (Korea, Republic of)
Jong Chul Ye, KAIST (Korea, Republic of)

Published in SPIE Proceedings Vol. 8138:
Wavelets and Sparsity XIV
Manos Papadakis; Dimitri Van De Ville; Vivek K. Goyal, Editor(s)

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