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Proceedings Paper

Application of Lp-regularized least squares for 0<=p<=1 in estimating discrete spectrum of relaxations for electromagnetic induction responses
Author(s): Mu-Hsin Wei; Waymond R. Scott; James H. McClellan; Gregg D. Larson
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Paper Abstract

The EMI response of a target can be accurately modeled by a sum of real exponentials. However, it is difficult to obtain the model parameters from measurements when the number of exponentials in the sum is unknown. In this paper, the estimation problem is reformulated into a linear system and model parameters are estimated through a modified Lp-regularized least squares algorithm for 0 <= p <= 1. Using tests on synthetic data and laboratory measurement of known targets the proposed method is shown to provide satisfactory and stable estimates. In addition, the proposed method does not require a good initial guess for convergence.

Paper Details

Date Published: 29 April 2010
PDF: 9 pages
Proc. SPIE 7664, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV, 76640F (29 April 2010); doi: 10.1117/12.852397
Show Author Affiliations
Mu-Hsin Wei, Georgia Institute of Technology (United States)
Waymond R. Scott, Georgia Institute of Technology (United States)
James H. McClellan, Georgia Institute of Technology (United States)
Gregg D. Larson, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 7664:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV
Russell S. Harmon; John H. Holloway; J. Thomas Broach, Editor(s)

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