4.5 Article

Inversion in an uncertain ocean using Gaussian processes

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Electrical & Electronic

Rethinking Bayesian Learning for Data Analysis

Lei Cheng et al.

IEEE SIGNAL PROCESSING MAGAZINE (2022)

Article Acoustics

Seabed classification and source localization with Gaussian processes and machine learning

Christina Frederick et al.

Summary: In this study, Workshop '97 data are utilized for seabed classification and source range estimation. Gaussian processes are applied to denoise the data and predict the field, which are then combined with machine learning for signal mapping. The results show that using Gaussian processes for denoising leads to superior classification performance compared to using noisy data.

JASA EXPRESS LETTERS (2022)

Article Acoustics

Gaussian processes for sound field reconstruction

Diego Caviedes-Nozal et al.

Summary: This study explores the use of Gaussian process regression for sound field reconstruction, focusing on spatial correlation to improve accuracy and comparing it to traditional linear regression methods. The results demonstrate the advantages of using GPs in sound field analysis, particularly when prior knowledge is unavailable.

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2021)

Review Acoustics

Review of Geoacoustic Inversion in Underwater Acoustics

N. Ross Chapman et al.

Summary: This paper reviews the progress in geoacoustic inversion over the past several decades, focusing on model-based and model-free inversion methods. The first part outlines developments in model-based inversion methods and discusses limitations, while the second part focuses on recent advancements in model-free inversion methods and the issue of parameter distortion caused by model mismatch. The review concludes with prospects for improving inversion performance through new research directions.

JOURNAL OF THEORETICAL AND COMPUTATIONAL ACOUSTICS (2021)

Article Acoustics

Matched field source localization with Gaussian processes

Zoi-Heleni Michalopoulou et al.

Summary: Gaussian processes can predict a densely sampled field on the array for a sparsely observed acoustic field, with prediction quality depending on the choice of kernel and hyperparameters. When applied to source localization in the ocean with matched-field processing, Gaussian processes lead to denser sampling and denoising, resulting in a higher probability of correct localization compared to conventional processing as noise levels increase.

JASA EXPRESS LETTERS (2021)

Article Geochemistry & Geophysics

Gaussian process models-II. Lessons for discrete inversion

Andrew P. Valentine et al.

GEOPHYSICAL JOURNAL INTERNATIONAL (2020)

Article Geochemistry & Geophysics

Gaussian process models-I. A framework for probabilistic continuous inverse theory

Andrew P. Valentine et al.

GEOPHYSICAL JOURNAL INTERNATIONAL (2020)

Article Acoustics

Bayesian coherent and incoherent matched-field localization and detection in the ocean

Zoi-Heleni Michalopoulou et al.

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2019)

Article Acoustics

Multiple-array passive acoustic source localization in shallow water

Dag Tollefsen et al.

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2017)

Article Acoustics

Simulations of source localization in the deep ocean using frequency-difference matched field processing

David J. Geroski et al.

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2017)

Article Acoustics

Adaptive frequency-difference matched field processing for high frequency source localization in a noisy shallow ocean

Brian M. Worthmann et al.

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2017)

Article Acoustics

Adaptive and compressive matched field processing

Kay L. Gemba et al.

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2017)

Article Acoustics

Multi-frequency sparse Bayesian learning for robust matched field processing

Kay L. Gemba et al.

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2017)

Article Acoustics

Multi-frequency sparse Bayesian learning for robust matched field processing Abstracts

[Anonymous]

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2017)

Article Engineering, Electrical & Electronic

Multisnapshot Sparse Bayesian Learning for DOA

Peter Gerstoft et al.

IEEE SIGNAL PROCESSING LETTERS (2016)

Article Acoustics

Out-of-band beamforming and matched field processing

David R. Dowling et al.

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2016)

Article Acoustics

Maximum-likelihood and other processors for incoherent and coherent matched-field localization

Stan E. Dosso et al.

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2012)

Article Acoustics

Range aliasing in frequency coherent geoacoustic inversion

Caglar Yardim et al.

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2011)

Article Acoustics

Quantifying uncertainty in geoacoustic inversion. I. A fast Gibbs sampler approach

SE Dosso

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2002)