Detection and Feature Extraction in Acoustic Sensor Signals
Acoustic sensors have an extremely wide range of applications in many fields, including underwater acoustics, architectural acoustics, engineering acoustics, physical acoustics, environmental acoustics, psychoacoustics, and so on. The signals collected by high-sensitivity acoustic sensors contain a...
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| Formaat: | Online |
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| Taal: | Engels |
| Gepubliceerd in: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online toegang: | ONIX_20231130_9783036591919_197 |
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| _version_ | 1869519446792470528 |
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| collection | Directory of Open Access Books |
| description | Acoustic sensors have an extremely wide range of applications in many fields, including underwater acoustics, architectural acoustics, engineering acoustics, physical acoustics, environmental acoustics, psychoacoustics, and so on. The signals collected by high-sensitivity acoustic sensors contain a large amount of valid information that facilitates further processing of the collected acoustic signals. In particular, detection and feature extraction, as two important measures of acoustic sensor signal processing, can capture more information regarding the target and extract features with separability. |
| format | Online |
| id | doab-20.500.12854ir-128745 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1287452024-04-09T23:16:03Z Detection and Feature Extraction in Acoustic Sensor Signals Li, Yuxing Fredianelli, Luca Scholte wave detection multilayer elastic bottom acoustic pressure field source depth propagation distance feature extraction target recognition neural networks underwater acoustic signals acoustic ranging acoustic thermometry digital lock-in filtering electrical conduit time-of-flight estimation delay estimation singular value decomposition GCC-PHAT-ργ weighting generalized cross-correlation SPB method sound pass-by low-noise surfaces noise modeling road traffic noise unattended noise measurement procedure traffic measurements noise emission environmental noise sound partial updates least mean squares Leaky LMS structural active noise control deconvolved beamforming fractional Fourier transform direction of arrival estimation linear frequency modulation signal fault diagnosis hierarchical slope entropy white shark optimizer optimized support vector machine bearing signals metro traction motor bearings multisignal fusion Markov transition field optimized deep residual network diagnosis of compound faults multistable stochastic resonance adaptive parameter improved grey wolf algorithm bearing fault detection state estimation unknown statistical characteristics of noise cost-reference particle filter multi-population cooperation intelligent resample Gaussian mutation n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Acoustic sensors have an extremely wide range of applications in many fields, including underwater acoustics, architectural acoustics, engineering acoustics, physical acoustics, environmental acoustics, psychoacoustics, and so on. The signals collected by high-sensitivity acoustic sensors contain a large amount of valid information that facilitates further processing of the collected acoustic signals. In particular, detection and feature extraction, as two important measures of acoustic sensor signal processing, can capture more information regarding the target and extract features with separability. 2023-11-30T20:48:53Z 2023-11-30T20:48:53Z 2023 book ONIX_20231130_9783036591919_197 9783036591919 9783036591902 https://directory.doabooks.org/handle/20.500.12854/128745 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8210 https://mdpi.com/books/pdfview/book/8210 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9190-2 10.3390/books978-3-0365-9190-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036591919 9783036591902 204 Basel open access |
| spellingShingle | Scholte wave detection multilayer elastic bottom acoustic pressure field source depth propagation distance feature extraction target recognition neural networks underwater acoustic signals acoustic ranging acoustic thermometry digital lock-in filtering electrical conduit time-of-flight estimation delay estimation singular value decomposition GCC-PHAT-ργ weighting generalized cross-correlation SPB method sound pass-by low-noise surfaces noise modeling road traffic noise unattended noise measurement procedure traffic measurements noise emission environmental noise sound partial updates least mean squares Leaky LMS structural active noise control deconvolved beamforming fractional Fourier transform direction of arrival estimation linear frequency modulation signal fault diagnosis hierarchical slope entropy white shark optimizer optimized support vector machine bearing signals metro traction motor bearings multisignal fusion Markov transition field optimized deep residual network diagnosis of compound faults multistable stochastic resonance adaptive parameter improved grey wolf algorithm bearing fault detection state estimation unknown statistical characteristics of noise cost-reference particle filter multi-population cooperation intelligent resample Gaussian mutation n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Detection and Feature Extraction in Acoustic Sensor Signals |
| title | Detection and Feature Extraction in Acoustic Sensor Signals |
| title_full | Detection and Feature Extraction in Acoustic Sensor Signals |
| title_fullStr | Detection and Feature Extraction in Acoustic Sensor Signals |
| title_full_unstemmed | Detection and Feature Extraction in Acoustic Sensor Signals |
| title_short | Detection and Feature Extraction in Acoustic Sensor Signals |
| title_sort | detection and feature extraction in acoustic sensor signals |
| topic | Scholte wave detection multilayer elastic bottom acoustic pressure field source depth propagation distance feature extraction target recognition neural networks underwater acoustic signals acoustic ranging acoustic thermometry digital lock-in filtering electrical conduit time-of-flight estimation delay estimation singular value decomposition GCC-PHAT-ργ weighting generalized cross-correlation SPB method sound pass-by low-noise surfaces noise modeling road traffic noise unattended noise measurement procedure traffic measurements noise emission environmental noise sound partial updates least mean squares Leaky LMS structural active noise control deconvolved beamforming fractional Fourier transform direction of arrival estimation linear frequency modulation signal fault diagnosis hierarchical slope entropy white shark optimizer optimized support vector machine bearing signals metro traction motor bearings multisignal fusion Markov transition field optimized deep residual network diagnosis of compound faults multistable stochastic resonance adaptive parameter improved grey wolf algorithm bearing fault detection state estimation unknown statistical characteristics of noise cost-reference particle filter multi-population cooperation intelligent resample Gaussian mutation n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | Scholte wave detection multilayer elastic bottom acoustic pressure field source depth propagation distance feature extraction target recognition neural networks underwater acoustic signals acoustic ranging acoustic thermometry digital lock-in filtering electrical conduit time-of-flight estimation delay estimation singular value decomposition GCC-PHAT-ργ weighting generalized cross-correlation SPB method sound pass-by low-noise surfaces noise modeling road traffic noise unattended noise measurement procedure traffic measurements noise emission environmental noise sound partial updates least mean squares Leaky LMS structural active noise control deconvolved beamforming fractional Fourier transform direction of arrival estimation linear frequency modulation signal fault diagnosis hierarchical slope entropy white shark optimizer optimized support vector machine bearing signals metro traction motor bearings multisignal fusion Markov transition field optimized deep residual network diagnosis of compound faults multistable stochastic resonance adaptive parameter improved grey wolf algorithm bearing fault detection state estimation unknown statistical characteristics of noise cost-reference particle filter multi-population cooperation intelligent resample Gaussian mutation n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20231130_9783036591919_197 |