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Matlab demonstration of an algorithm for interpolating distance-dependent (near-field) head-related transfer functions (HRTFs).
The interpolation is performed using barycentric weights of 4 HRTF measurements forming a tetrahedron that encloses the desired source position.
The main steps of the interpolation algorithm are:
1) Initialisation: organise HRTF measurement positions in tetrahedral mesh via Delaunay triangulation and generate an octree;
2) Source update: find a tetrahedron that encloses the desired source position (via brute-force search, or via adjacency walk with/without octree lookup);
3) Interpolation: calculate barycentric weights for linear interpolation of HRTF measurements at the vertices of the tetrahedron selected in 2)
Reference:
Gamper, H. (2013). "Head-related transfer function interpolation in azimuth, elevation, and distance", Journal of the Acoustical Society of America 134(6), JASA EL547-EL554. Available online: http://link.aip.org/link/?JAS/134/EL547/1
Zitieren als
Hannes (2026). 3-D HRTF interpolation (https://de.mathworks.com/matlabcentral/fileexchange/43809-3-d-hrtf-interpolation), MATLAB Central File Exchange. Abgerufen .
Quellenangaben
Inspiriert von: octree - partitioning 3D points into spatial subvolumes
Allgemeine Informationen
- Version 1.5.0.0 (6,15 KB)
Kompatibilität der MATLAB-Version
- Kompatibel mit allen Versionen
Plattform-Kompatibilität
- Windows
- macOS
- Linux
| Version | Veröffentlicht | Versionshinweise | Action |
|---|---|---|---|
| 1.5.0.0 | fixed call to Delaunay to support earlier Matlab versions ( < 2009b) |
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| 1.4.0.0 | removed tilde placeholders in function output calls for backward compatibility with Matlab versions earlier than 2009b |
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| 1.3.0.0 | updated reference and link to JASA article |
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| 1.2.0.0 | Tags, comments |
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| 1.1.0.0 | Added comments and references. |
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| 1.0.0.0 |
