On the inverse problem of vibro-acoustography

09/04/2021
by   Barbara Kaltenbacher, et al.
0

The aim of this paper is to put the problem of vibroacoustic imaging into the mathematical framework of inverse problems (more precisely, coefficient identification in PDEs) and regularization. We present a model in frequency domain, prove uniqueness of recovery of the spatially varying nonlinearity parameter from measurements of the acoustic pressure at multiple frequencies, and derive Newton as well as gradient based reconstruction methods.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/14/2021

Iterative regularization for constrained minimization formulations of nonlinear inverse problems

In this paper we the formulation of inverse problems as constrained mini...
research
07/05/2019

On stable invertibility and global Newton convergence for convex monotonic functions

We derive a simple criterion that ensures uniqueness, Lipschitz stabilit...
research
08/31/2023

Bi-level iterative regularization for inverse problems in nonlinear PDEs

We investigate the ill-posed inverse problem of recovering unknown spati...
research
12/23/2019

Uniqueness of an inverse source problem in experimental aeroacoustics

This paper is concerned with the mathematical analysis of experimental m...
research
09/14/2020

Regularization for the inversion of Fibre Bragg Grating spectra

Fibre Bragg Gratings have become widespread measurement devices in engin...
research
02/27/2018

A Mathematical Framework for Deep Learning in Elastic Source Imaging

An inverse elastic source problem with sparse measurements is of concern...

Please sign up or login with your details

Forgot password? Click here to reset