Frequency Domain Based Approach for Denoising of Underwater Acoustic Signal Using EMD
Underwater communication is usually affected by ambient noise, which may be generated by different sources, such as the wind origin sea-surface sources, ships and under water life. The properties of background noise, which are non-stationary in nature, depend on location, sea depth, wind speed and s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2013-03-01
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| Series: | Journal of Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/jisys-2012-0021 |
| _version_ | 1818668889345622016 |
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| author | Veeraiyan Vijayabaskar Velayutham Rajendran Philip Mathews M. |
| author_facet | Veeraiyan Vijayabaskar Velayutham Rajendran Philip Mathews M. |
| author_sort | Veeraiyan Vijayabaskar |
| collection | DOAJ |
| description | Underwater communication is usually affected by ambient noise, which may be
generated by different sources, such as the wind origin sea-surface sources,
ships and under water life. The properties of background noise, which are
non-stationary in nature, depend on location, sea depth, wind speed and
sound propagation conditions in the area. Overall performance of underwater
acoustic instruments can be improved by denoising the underwater signals.
This paper proposes a novel denoising method using empirical mode
decomposition (EMD) technique. Frequency domain based thresholding has been
used to denoise the signal, which involves three steps: (i) EMD is
applied to the noisy signal to decompose the signal into intrinsic mode
functions (IMFs). (ii) Thresholding is applied to each IMF in the frequency
domain to remove the noise. (iii) Thresholded IMFs are added to obtain the
denoised signal. Real-time experiments were performed to validate the proposed
technique on the basis of the records of the ambient noise data recorded at
sea for various wind speed. It was observed that the experimental results
are in good agreement with the proposed algorithm under different wind-noise
levels. |
| first_indexed | 2024-12-17T06:43:29Z |
| format | Article |
| id | doaj.art-33bf284bb75245428d617300e751debd |
| institution | Directory Open Access Journal |
| issn | 0334-1860 2191-026X |
| language | English |
| last_indexed | 2024-12-17T06:43:29Z |
| publishDate | 2013-03-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Journal of Intelligent Systems |
| spelling | doaj.art-33bf284bb75245428d617300e751debd2022-12-21T21:59:47ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2013-03-01221678010.1515/jisys-2012-0021Frequency Domain Based Approach for Denoising of Underwater Acoustic Signal Using EMDVeeraiyan Vijayabaskar0Velayutham Rajendran1Philip Mathews M.2Sathyabama University, Chennai, IndiaSSN College of Engineering, Chennai, IndiaSathyabama University, Chennai, IndiaUnderwater communication is usually affected by ambient noise, which may be generated by different sources, such as the wind origin sea-surface sources, ships and under water life. The properties of background noise, which are non-stationary in nature, depend on location, sea depth, wind speed and sound propagation conditions in the area. Overall performance of underwater acoustic instruments can be improved by denoising the underwater signals. This paper proposes a novel denoising method using empirical mode decomposition (EMD) technique. Frequency domain based thresholding has been used to denoise the signal, which involves three steps: (i) EMD is applied to the noisy signal to decompose the signal into intrinsic mode functions (IMFs). (ii) Thresholding is applied to each IMF in the frequency domain to remove the noise. (iii) Thresholded IMFs are added to obtain the denoised signal. Real-time experiments were performed to validate the proposed technique on the basis of the records of the ambient noise data recorded at sea for various wind speed. It was observed that the experimental results are in good agreement with the proposed algorithm under different wind-noise levels.https://doi.org/10.1515/jisys-2012-0021empirical mode decompositiondenoisingambient noiseintrinsic mode functionsthreshold |
| spellingShingle | Veeraiyan Vijayabaskar Velayutham Rajendran Philip Mathews M. Frequency Domain Based Approach for Denoising of Underwater Acoustic Signal Using EMD Journal of Intelligent Systems empirical mode decomposition denoising ambient noise intrinsic mode functions threshold |
| title | Frequency Domain Based Approach for Denoising of Underwater Acoustic Signal Using EMD |
| title_full | Frequency Domain Based Approach for Denoising of Underwater Acoustic Signal Using EMD |
| title_fullStr | Frequency Domain Based Approach for Denoising of Underwater Acoustic Signal Using EMD |
| title_full_unstemmed | Frequency Domain Based Approach for Denoising of Underwater Acoustic Signal Using EMD |
| title_short | Frequency Domain Based Approach for Denoising of Underwater Acoustic Signal Using EMD |
| title_sort | frequency domain based approach for denoising of underwater acoustic signal using emd |
| topic | empirical mode decomposition denoising ambient noise intrinsic mode functions threshold |
| url | https://doi.org/10.1515/jisys-2012-0021 |
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