Using Discrete Fourier Transforms to Compute Acoustic Impedance in Digitized Media

Abstract This article presents a new approach to numerical acoustics. By discretizing a spatial continuum within a square grid of points, the surface acoustic impedance of a radiator is computed directly using plane waves as basis functions in a Discrete Fourier Transform (DFT) formulation. The novelty of this study is rewriting the expression for plane wave propagation in this format. This is possible since both the plane wave pressure and its derivative (velocity) contain the same cosine and sine terms, i.e., orthogonal functions identical to those of the DFT. A distinct advantage of the resulting orthogonal matrix is that the use of its Hermitian (conjugate transpose) avoids matrix division. This relationship avoids the usual problems with singularities often encountered when inverting matrices. The inherent simplicity of this numerical method is the essence of the article. This feature will facilitate easy dissemination and use among students, engineers, and scientists in relevant disciplines.

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Publication Details

Journal
Journal of vibration and acoustics
Published
2025-09-19
DOI
https://doi.org/10.1115/1.4069850
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Discrete Fourier Transforms to Compute Acoustic Impedance in Digitized Media

Gary H. Koopmann
Journal of vibration and acoustics
Speech and Audio Processing
article

Using Discrete Fourier Transforms to Compute Acoustic Impedance in Digitized Media

Gary H. Koopmann
article en

Abstract

Abstract This article presents a new approach to numerical acoustics. By discretizing a spatial continuum within a square grid of points, the surface acoustic impedance of a radiator is computed directly using plane waves as basis functions in a Discrete Fourier Transform (DFT) formulation. The novelty of this study is rewriting the expression for plane wave propagation in this format. This is possible since both the plane wave pressure and its derivative (velocity) contain the same cosine and sine terms, i.e., orthogonal functions identical to those of the DFT. A distinct advantage of the resulting orthogonal matrix is that the use of its Hermitian (conjugate transpose) avoids matrix division. This relationship avoids the usual problems with singularities often encountered when inverting matrices. The inherent simplicity of this numerical method is the essence of the article. This feature will facilitate easy dissemination and use among students, engineers, and scientists in relevant disciplines.

Journal of vibration and acousticsVol. 148(1)
Engineering Acoustics (United States) (US), Drury University (US)
Openalex Percentile: Top 69%
Speech and Audio Processing
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