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A Zero-order Hold Approach for Fractional-delay Interpolation in AuralizationDuring the signal processing chain of an auralization simulating the propagation of a sound from a moving source to a stationary receiver, it is often necessary to interpolate between the samples of the source signal in order to arrive at uniformly-spaced samples at the receiver. In some cases, this interpolation is done in the receiver time frame – where the “input” samples of the source have become irregularly spaced due to time dilation effects. Canonical band-limited interpolation methods (i.e., sinc and sinc-derived approaches) cannot be applied in this case as they rely on having a uniformly-spaced input. The use of geometric interpolation methods that can handle irregularly-spaced input may not be grounded in signal processing principles and may produce unwanted artifacts and noise. This presentation outlines the possibility of embedding an irregularly-spaced zero-order hold signal within a highly over-sampled uniformly-spaced signal, and then processing down to the desired sampling rate through successive decimations. Initial distortion and noise characteristics of the approach are shown for some basic propagation geometries. The possible benefits of using such an approach in an auralization scheme with a time-varying Doppler shift are discussed including: the prevention of aliasing, processing time advantages, and the possibility for asynchronous processing.
Document ID
20220007150
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
Andrew Christian
(Langley Research Center Hampton, Virginia, United States)
Randall Ali
(KU Leuven Leuven, Belgium)
Eric Greenwood
(Pennsylvania State University State College, Pennsylvania, United States)
Date Acquired
May 8, 2022
Subject Category
Acoustics
Meeting Information
Meeting: 182nd Meeting of the Acoustical Society of America
Location: Denver, CO
Country: US
Start Date: May 23, 2022
End Date: May 27, 2022
Sponsors: Acoustical Society of America
Funding Number(s)
WBS: 664817
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Keywords
Auralization
Signal Processing
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