Nonlinear dimensionality reduction for the acoustic field measured by a linear sensor array

Nonlinear dimensionality reduction for the acoustic field measured by a linear sensor array

Dimensionality reduction is one of the central problems in machine learning and pattern recognition, which aims to develop a compact representation for complex data from high-dimensional observations. Here, we apply a nonlinear manifold learning algorithm, called local tangent space alignment (LTSA)...

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Main Authors: Zhang Xinyao, Wang Pengyu, Wang Ning
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2019/32/matecconf_fcac2019_07009.pdf
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spelling doaj-341e6ab529ab4781a5482cc264c4b6202021-02-02T07:05:27ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012830700910.1051/matecconf/201928307009matecconf_fcac2019_07009Nonlinear dimensionality reduction for the acoustic field measured by a linear sensor arrayZhang Xinyao0Wang Pengyu1Wang Ning2Department of Marine Technology, Ocean University of ChinaDepartment of Electronics, Ocean University of ChinaDepartment of Marine Technology, Ocean University of ChinaDimensionality reduction is one of the central problems in machine learning and pattern recognition, which aims to develop a compact representation for complex data from high-dimensional observations. Here, we apply a nonlinear manifold learning algorithm, called local tangent space alignment (LTSA) algorithm, to high-dimensional acoustic observations and achieve nonlinear dimensionality reduction for the acoustic field measured by a linear senor array. By dimensionality reduction, the underlying physical degrees of freedom of acoustic field, such as the variations of sound source location and sound speed profiles, can be discovered. Two simulations are presented to verify the validity of the approach.https://www.matec-conferences.org/articles/matecconf/pdf/2019/32/matecconf_fcac2019_07009.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Zhang Xinyao
Wang Pengyu
Wang Ning
spellingShingle Zhang Xinyao
Wang Pengyu
Wang Ning
Nonlinear dimensionality reduction for the acoustic field measured by a linear sensor array
MATEC Web of Conferences
author_facet Zhang Xinyao
Wang Pengyu
Wang Ning
author_sort Zhang Xinyao
title Nonlinear dimensionality reduction for the acoustic field measured by a linear sensor array
title_short Nonlinear dimensionality reduction for the acoustic field measured by a linear sensor array
title_full Nonlinear dimensionality reduction for the acoustic field measured by a linear sensor array
title_fullStr Nonlinear dimensionality reduction for the acoustic field measured by a linear sensor array
title_full_unstemmed Nonlinear dimensionality reduction for the acoustic field measured by a linear sensor array
title_sort nonlinear dimensionality reduction for the acoustic field measured by a linear sensor array
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2019-01-01
description Dimensionality reduction is one of the central problems in machine learning and pattern recognition, which aims to develop a compact representation for complex data from high-dimensional observations. Here, we apply a nonlinear manifold learning algorithm, called local tangent space alignment (LTSA) algorithm, to high-dimensional acoustic observations and achieve nonlinear dimensionality reduction for the acoustic field measured by a linear senor array. By dimensionality reduction, the underlying physical degrees of freedom of acoustic field, such as the variations of sound source location and sound speed profiles, can be discovered. Two simulations are presented to verify the validity of the approach.
url https://www.matec-conferences.org/articles/matecconf/pdf/2019/32/matecconf_fcac2019_07009.pdf
work_keys_str_mv AT zhangxinyao nonlineardimensionalityreductionfortheacousticfieldmeasuredbyalinearsensorarray
AT wangpengyu nonlineardimensionalityreductionfortheacousticfieldmeasuredbyalinearsensorarray
AT wangning nonlineardimensionalityreductionfortheacousticfieldmeasuredbyalinearsensorarray
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