Robust spherical harmonic domain interpolation of spatially sampled array manifolds
File(s)
Accepted version
Author(s)
Moore, AH
Brookes, D
Naylor, PA
Type
Conference Paper
Abstract
Accurate interpolation of the array manifold is an important first
step for the acoustic simulation of rapidly moving microphone ar-
rays. Spherical harmonic domain interpolation has been proposed
and well studied in the context of head-related transfer functions but
has focussed on perceptual, rather than numerical, accuracy. In this
paper we analyze the effect of measurement noise on spatial aliasing.
Based on this analysis we propose a method for selecting the trunca-
tion orders for the forward and reverse spherical Fourier transforms
given only the noisy samples in such a way that the interpolation
error is minimized. The proposed method achieves up to 1.7 dB im-
provement over the baseline approach.
step for the acoustic simulation of rapidly moving microphone ar-
rays. Spherical harmonic domain interpolation has been proposed
and well studied in the context of head-related transfer functions but
has focussed on perceptual, rather than numerical, accuracy. In this
paper we analyze the effect of measurement noise on spatial aliasing.
Based on this analysis we propose a method for selecting the trunca-
tion orders for the forward and reverse spherical Fourier transforms
given only the noisy samples in such a way that the interpolation
error is minimized. The proposed method achieves up to 1.7 dB im-
provement over the baseline approach.
Date Issued
2017-06-19
Date Acceptance
2016-12-12
Citation
IEEE International Conference on Acoustics Speech and Signal Processing, 2017, pp.521-525
ISSN
1520-6149
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
521
End Page
525
Journal / Book Title
IEEE International Conference on Acoustics Speech and Signal Processing
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Commission of the European Communities
Grant Number
EP/M026698/1
609465
Source
IEEE International Conference on Acoustics Speech and Signal Processing
Subjects
Science & Technology
Technology
Acoustics
Engineering, Electrical & Electronic
Engineering
interpolation
HRTF
array manifold
spherical harmonics
microphone array
PLANE-WAVE DECOMPOSITION
MICROPHONE ARRAYS
SOUND FIELD
HEAD
Publication Status
Published
Start Date
2017-03-05
Finish Date
2017-03-09
Coverage Spatial
New Orleans
Date Publish Online
2017-06-19