JOURNAL ARTICLE

Identification of the parametric array loudspeaker with a volterra filter using the sparse NLMS algorithm

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.

Keywords:
Loudspeaker Nonlinear system Nonlinear distortion Parametric statistics Filter (signal processing) System identification Linearization Nonlinear acoustics Algorithm Computer science Finite impulse response Distortion (music) Nonlinear system identification Control theory (sociology) Volterra series Mathematics Acoustics Amplifier Artificial intelligence Physics Telecommunications

Metrics

15
Cited By
3.57
FWCI (Field Weighted Citation Impact)
33
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Acoustic Wave Phenomena Research
Physical Sciences →  Engineering →  Biomedical Engineering

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