3-D HRTF interpolation

Version 1.5.0.0 (6.15 KB) by Hannes
Head-related transfer function (HRTF) interpolation in azimuth, elevation, and distance
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Updated 12 Jan 2015

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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

Cite As

Hannes (2024). 3-D HRTF interpolation (https://www.mathworks.com/matlabcentral/fileexchange/43809-3-d-hrtf-interpolation), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.5.0.0

fixed call to Delaunay to support earlier Matlab versions ( < 2009b)
1.4.0.0

removed tilde placeholders in function output calls for backward compatibility with Matlab versions earlier than 2009b
1.3.0.0

updated reference and link to JASA article
1.2.0.0

Tags, comments
1.1.0.0

Added comments and references.
1.0.0.0