Identification of the parametric array loudspeaker with a Volterra filter using the sparse NLMS algorithm
Identification of the parametric array loudspeaker with a Volterra filter using the sparse NLMS algorithm
Volterra filters can be applied to a wide range of nonlinear systems, keeping only the low order kernels to yield a good approximation. The parametric array loudspeaker (PAL), as a weak nonlinear acoustic system, is an attractive directional sound reproduction device. Volterra filters have been adopted in the linearization system of the PAL that efficiently reduces the nonlinear distortion with no need of solving the nonlinear acoustic equation. In this paper, the ultrasound-to-ultrasound Volterra filter is proposed, being inspired by the nonlinear acoustic principle, to provide a better systematic representation of the PAL. Experiment results are presented to prove the effectiveness of the proposed approach, where the sparse NLMS algorithm is carried out in the identification.
Shi, Chuang
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Kajikawa, Yoshinobu
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Shi, Chuang
c46f72bd-54c7-45ee-ac5d-285691fccf81
Kajikawa, Yoshinobu
a7d32c43-f780-4ae0-884c-08fe6f70c582
Shi, Chuang and Kajikawa, Yoshinobu
(2015)
Identification of the parametric array loudspeaker with a Volterra filter using the sparse NLMS algorithm.
In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
IEEE.
5 pp
.
(doi:10.1109/ICASSP.2015.7178596).
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Conference or Workshop Item
(Paper)
Abstract
Volterra filters can be applied to a wide range of nonlinear systems, keeping only the low order kernels to yield a good approximation. The parametric array loudspeaker (PAL), as a weak nonlinear acoustic system, is an attractive directional sound reproduction device. Volterra filters have been adopted in the linearization system of the PAL that efficiently reduces the nonlinear distortion with no need of solving the nonlinear acoustic equation. In this paper, the ultrasound-to-ultrasound Volterra filter is proposed, being inspired by the nonlinear acoustic principle, to provide a better systematic representation of the PAL. Experiment results are presented to prove the effectiveness of the proposed approach, where the sparse NLMS algorithm is carried out in the identification.
Text
ICASSP40_Submission
- Accepted Manuscript
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e-pub ahead of print date: 6 August 2015
Venue - Dates:
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), , Brisbane, Australia, 2015-04-19 - 2015-04-24
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Local EPrints ID: 483664
URI: http://eprints.soton.ac.uk/id/eprint/483664
ISSN: 1520-6149
PURE UUID: d6ea6b4e-5d3b-4ec0-aab0-ec5c4ba66a9b
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Date deposited: 03 Nov 2023 17:43
Last modified: 18 Mar 2024 04:13
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Author:
Chuang Shi
Author:
Yoshinobu Kajikawa
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