Wave Field Synthesis of Moving Sources with Retarded Stationary Phase Approximation
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G. Firtha, and P. Fiala, "Wave Field Synthesis of Moving Sources with Retarded Stationary Phase Approximation," J. Audio Eng. Soc., vol. 63, no. 12, pp. 958-965, (2015 December.). doi: https://doi.org/10.17743/jaes.2015.0078
G. Firtha, and P. Fiala, "Wave Field Synthesis of Moving Sources with Retarded Stationary Phase Approximation," J. Audio Eng. Soc., vol. 63 Issue 12 pp. 958-965, (2015 December.). doi: https://doi.org/10.17743/jaes.2015.0078
Abstract: Wave Field Synthesis (WFS) of a moving sound source is of great importance when reproducing dynamic sound scenes. This research describes a time-domain analytical WFS driving functions for the synthesis of uniformly moving acoustic point sources. The results can be regarded as a general WFS solution for both moving and stationary point sources, which can then be directly used in practical applications. The derivation adapts the traditional stationary phase approximation in the mixed temporal-frequency domain to the dynamical description of moving point sources. This results in driving functions for harmonic sources optimized on a reference line. The authors prove that by applying traditional approximations the resulting driving functions formally coincide with the driving functions for stationary sources when the originally static distances are changed to dynamic distances. The validity of the analytical results is demonstrated via numerical simulation examples, including a practical applicable situation: applying multiple linear Secondary Source Distribution (SSD) elements instead of the theoretically infinite SSD.
@article{firtha2016wave,
author={firtha, gergely and fiala, peter},
journal={journal of the audio engineering society},
title={wave field synthesis of moving sources with retarded stationary phase approximation},
year={2016},
volume={63},
number={12},
pages={958-965},
doi={https://doi.org/10.17743/jaes.2015.0078},
month={december},}
@article{firtha2016wave,
author={firtha, gergely and fiala, peter},
journal={journal of the audio engineering society},
title={wave field synthesis of moving sources with retarded stationary phase approximation},
year={2016},
volume={63},
number={12},
pages={958-965},
doi={https://doi.org/10.17743/jaes.2015.0078},
month={december},
abstract={wave field synthesis (wfs) of a moving sound source is of great importance when reproducing dynamic sound scenes. this research describes a time-domain analytical wfs driving functions for the synthesis of uniformly moving acoustic point sources. the results can be regarded as a general wfs solution for both moving and stationary point sources, which can then be directly used in practical applications. the derivation adapts the traditional stationary phase approximation in the mixed temporal-frequency domain to the dynamical description of moving point sources. this results in driving functions for harmonic sources optimized on a reference line. the authors prove that by applying traditional approximations the resulting driving functions formally coincide with the driving functions for stationary sources when the originally static distances are changed to dynamic distances. the validity of the analytical results is demonstrated via numerical simulation examples, including a practical applicable situation: applying multiple linear secondary source distribution (ssd) elements instead of the theoretically infinite ssd.},}
TY - paper
TI - Wave Field Synthesis of Moving Sources with Retarded Stationary Phase Approximation
SP - 958
EP - 965
AU - Firtha, Gergely
AU - Fiala, Peter
PY - 2016
JO - Journal of the Audio Engineering Society
IS - 12
VO - 63
VL - 63
Y1 - December 2015
TY - paper
TI - Wave Field Synthesis of Moving Sources with Retarded Stationary Phase Approximation
SP - 958
EP - 965
AU - Firtha, Gergely
AU - Fiala, Peter
PY - 2016
JO - Journal of the Audio Engineering Society
IS - 12
VO - 63
VL - 63
Y1 - December 2015
AB - Wave Field Synthesis (WFS) of a moving sound source is of great importance when reproducing dynamic sound scenes. This research describes a time-domain analytical WFS driving functions for the synthesis of uniformly moving acoustic point sources. The results can be regarded as a general WFS solution for both moving and stationary point sources, which can then be directly used in practical applications. The derivation adapts the traditional stationary phase approximation in the mixed temporal-frequency domain to the dynamical description of moving point sources. This results in driving functions for harmonic sources optimized on a reference line. The authors prove that by applying traditional approximations the resulting driving functions formally coincide with the driving functions for stationary sources when the originally static distances are changed to dynamic distances. The validity of the analytical results is demonstrated via numerical simulation examples, including a practical applicable situation: applying multiple linear Secondary Source Distribution (SSD) elements instead of the theoretically infinite SSD.
Wave Field Synthesis (WFS) of a moving sound source is of great importance when reproducing dynamic sound scenes. This research describes a time-domain analytical WFS driving functions for the synthesis of uniformly moving acoustic point sources. The results can be regarded as a general WFS solution for both moving and stationary point sources, which can then be directly used in practical applications. The derivation adapts the traditional stationary phase approximation in the mixed temporal-frequency domain to the dynamical description of moving point sources. This results in driving functions for harmonic sources optimized on a reference line. The authors prove that by applying traditional approximations the resulting driving functions formally coincide with the driving functions for stationary sources when the originally static distances are changed to dynamic distances. The validity of the analytical results is demonstrated via numerical simulation examples, including a practical applicable situation: applying multiple linear Secondary Source Distribution (SSD) elements instead of the theoretically infinite SSD.