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Updated: Feb 17, 2026

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Published on: September 3, 2021
The spatial coherence of noise fields evoked by continuous source distributions
M Buerger1, T D Abhayapala2, C Hofmann1
1Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Cauerstraße 7, 91058 Erlangen, Germany.
This study derives analytic expressions for spatial coherence in noise fields, enabling sparse representations. The findings allow predicting sound coherence without placing sensors at desired locations.
Area of Science:
- Acoustics
- Wave Propagation
- Signal Processing
Background:
- Understanding spatial coherence is crucial for characterizing noise fields.
- Sparse representations offer efficient ways to describe complex acoustic phenomena.
- Existing methods may lack the flexibility to handle arbitrary pressure distributions.
Purpose of the Study:
- To derive analytic expressions for spatial coherence in the modal domain.
- To develop a sparse representation of sound fields using orthogonal basis functions.
- To enable prediction of spatial coherence without direct measurement.
Main Methods:
- Expressing sound fields using pressure distributions on virtual surfaces (cylindrical/spherical).
- Applying the Huygens-Fresnel principle with elementary sources.
- Proposing orthogonal basis functions with limited angular support for windowed distributions.
- Investigating special cases of circular and spherical distributions.
Main Results:
- Analytic expressions for spatial coherence in the modal domain were successfully derived.
- Orthogonal basis functions with limited angular support were proposed for arbitrary pressure distributions.
- Circular and spherical distributions with uncorrelated, equal-power source modes result in cylindrically and spherically isotropic (diffuse) noise fields, respectively.
- The derived expressions enable prediction of spatial coherence at any point within a region of interest.
Conclusions:
- The derived analytic expressions provide a powerful tool for analyzing spatial coherence in noise fields.
- The proposed method allows for efficient, sparse representation of sound fields.
- This approach eliminates the need for extensive sensor placement in the region of interest, simplifying acoustic measurements and predictions.
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