Least-squares method for recovering multiple medium parameters

We present a two-stage least-squares method for inverse medium problems of reconstructing multiple unknown coefficients simultaneously from noisy data. A direct sampling method is applied to detect the location of the inhomogeneity in the first stage, while a total least-squares method with a mixed...

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Veröffentlicht in:	Inverse problems 2022-12, Vol.38 (12), p.125004
Hauptverfasser:	Ito, Kazufumi, Liang, Ying, Zou, Jun
Format:	Artikel
Sprache:	eng
Schlagworte:	inverse medium problem least-squares method mixed regularization multiple parameters
Online-Zugang:	Volltext
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