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An optimization approach to multi-dimensional time domain acoustic inverse problems

In English

Författare

Summary, in English

An optimization approach to a multi-dimensional acoustic inverse problem

in the time domain is considered. The density and/or the velocity are reconstructed

by minimizing an objective functional. By introducing dual functions

and using the Gauss divergence theorem, the gradient of the objective

functional is found as an explicit expression. The parameters are then reconstructed

by an iterative algorithm (the conjugate gradient method). The

reconstruction algorithm is tested with noisy data, and these tests indicate

that the algorithm is stable and robust. The computation time for the reconstruction

is greatly improved when the analytic gradient is used.

Publiceringsår

1997

Språk

Engelska

Publikation/Tidskrift/Serie

Technical Report LUTEDX/(TEAT-7064)/1-15/(1997)

Dokumenttyp

Rapport

Förlag

[Publisher information missing]

Ämne

  • Other Electrical Engineering, Electronic Engineering, Information Engineering
  • Electrical Engineering, Electronic Engineering, Information Engineering

Status

Published

Report number

TEAT-7064

Forskningsgrupp

  • Electromagnetic theory