DOAJ Open Access 2026

Research on wideband acoustic imaging method based on sparse Bayesian learning

Zhaoyi Liao Qiang Zeng Lirong Liu Junda He Yajie Zhang

Abstrak

Abstract In response to the low accuracy of acoustic imaging with small microphone arrays, an acoustic imaging approach is proposed based on Sparse Bayesian Learning. A two-layer conjugate prior structure is built to model the signal. Additionally, it leverages shared parameters across frequency bands to achieve joint utilization of multi-frequency information, thereby reducing the adverse impact of column vector correlations in the observation matrix. All variables are modeled using conjugate priors, ensuring closed-form solutions exist for the update of all model variables. The experimental results demonstrate that the proposed method effectively improves the accuracy performance of acoustic imaging.

Topik & Kata Kunci

Computational linguistics. Natural language processing Electronic computers. Computer science

Penulis (5)

Zhaoyi Liao

Qiang Zeng

Lirong Liu

Junda He

Yajie Zhang

Format Sitasi

APA MLA BibTeX

Liao, Z., Zeng, Q., Liu, L., He, J., Zhang, Y. (2026). Research on wideband acoustic imaging method based on sparse Bayesian learning. https://doi.org/10.1007/s44163-026-00970-5

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Informasi Jurnal

Tahun Terbit: 2026
Sumber Database: DOAJ
DOI: 10.1007/s44163-026-00970-5
Akses: Open Access ✓