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February 12, 2026Акустический журнал / Acoustical Physics0 citations

Reconstruction of Sound Speed, Density, Absorption Coefficient and Its Frequency Dependence in Multy-Frequency Tomography Mode

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ORO.D. Rumyantseva

Key Points

  • The aim is to reconstruct inhomogeneous acoustic characteristics such as sound speed, density, and absorption coefficient from scattering data.
  • Reconstructing a complex scatterer function by solving an inverse problem.
  • Extracting individual distributions of acoustic characteristics from the scatterer function.
  • Conducting numerical simulations to test the proposed method under different noise levels.
  • The reconstruction method accurately retrieves sound speed, density, and absorption coefficient.
  • Absorption coefficient's frequency dependence shows the lowest resistance to noise.
  • High resolution achieved for reconstructed characteristics despite various noise conditions.

Abstract

A stationary medium containing inhomogeneities of sound speed, density, and frequency-dependent absorption coefficient is considered. These inhomogeneous acoustic characteristics, including a power index of frequency dependence of the absorption coefficient, are unknown and must be reconstructed based on scattering data at many frequencies. First, complex scatterer function, which contains contributions from various types of the inhomogeneities, is reconstructed by solving the inverse problem. Then, method for extracting the individual spatial distributions of all the sought-for acoustic characteristics from the scatterer function is proposed. Numerical simulation results are presented, which illustrate capabilities and restrictions of the proposed method for various noise levels in initial data. It is shown that result of reconstructing the power index of the frequency dependence of the absorption coefficient has the lowest noise resistance. At the same time, the sound speed, density, and absorption coefficient are reconstructed with acceptable accuracy and high resolution.

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Cite This Study

O.D. Rumyantseva (2025) studied this question.

synapsesocial.com/papers/698d6f0d5be6419ac0d551dehttps://doi.org/10.7868/s3034500625060105
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