Robust Detection of Underwater Transient Signals Using EVRC Noise Suppression Module
Summary :
Detection of transient signals is generally done by examining power and spectral variation of the received signal, but it becomes a difficult task when the background noise gets large. In this paper, we propose a robust transient detection algorithm using the EVRC noise suppression module. We define new parameters from the outputs of the EVRC noise suppression module for transient detection. Experimental results with various types of underwater transients have shown that the proposed method outperforms the conventional energy-based method and achieved performance improvement of detection rate by 7% to 15% for various types of background noise.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.7 pp.1371-1374
- Publication Date
- 2010/07/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E93.A.1371
- Type of Manuscript
- LETTER
- Category
- Engineering Acoustics
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Keyword
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Taehwan KIM, Keunsung BAE, "Robust Detection of Underwater Transient Signals Using EVRC Noise Suppression Module" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 7, pp. 1371-1374, July 2010, doi: 10.1587/transfun.E93.A.1371.
Abstract: Detection of transient signals is generally done by examining power and spectral variation of the received signal, but it becomes a difficult task when the background noise gets large. In this paper, we propose a robust transient detection algorithm using the EVRC noise suppression module. We define new parameters from the outputs of the EVRC noise suppression module for transient detection. Experimental results with various types of underwater transients have shown that the proposed method outperforms the conventional energy-based method and achieved performance improvement of detection rate by 7% to 15% for various types of background noise.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.1371/_p
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@ARTICLE{e93-a_7_1371,
author={Taehwan KIM, Keunsung BAE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robust Detection of Underwater Transient Signals Using EVRC Noise Suppression Module},
year={2010},
volume={E93-A},
number={7},
pages={1371-1374},
abstract={Detection of transient signals is generally done by examining power and spectral variation of the received signal, but it becomes a difficult task when the background noise gets large. In this paper, we propose a robust transient detection algorithm using the EVRC noise suppression module. We define new parameters from the outputs of the EVRC noise suppression module for transient detection. Experimental results with various types of underwater transients have shown that the proposed method outperforms the conventional energy-based method and achieved performance improvement of detection rate by 7% to 15% for various types of background noise.},
keywords={},
doi={10.1587/transfun.E93.A.1371},
ISSN={1745-1337},
month={July},}
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TY - JOUR
TI - Robust Detection of Underwater Transient Signals Using EVRC Noise Suppression Module
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1371
EP - 1374
AU - Taehwan KIM
AU - Keunsung BAE
PY - 2010
DO - 10.1587/transfun.E93.A.1371
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2010
AB - Detection of transient signals is generally done by examining power and spectral variation of the received signal, but it becomes a difficult task when the background noise gets large. In this paper, we propose a robust transient detection algorithm using the EVRC noise suppression module. We define new parameters from the outputs of the EVRC noise suppression module for transient detection. Experimental results with various types of underwater transients have shown that the proposed method outperforms the conventional energy-based method and achieved performance improvement of detection rate by 7% to 15% for various types of background noise.
ER -
English
