힐버트-후앙 변환을 이용한 수중소음원의 식별
Ideintification of Underwater Ambient Noise Sources Using Hilbert-Huang Transfer
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초록
Underwater ambient noise originating from geophysical, biological, and man-made acoustic sources contains information on the source and the ocean environment. Such noise affectsthe performance of sonar equipment. In this paper, three steps are used to identify the ambient noise source, detection, feature extraction, and similarity measurement. First, we use the zero-crossing rate to detect the ambient noisesource from background noise. Then, a set of feature vectors is proposed forthe ambient noise source using the Hilbert-Huang transform and the Karhunen-Loeve transform. Finally, the Euclidean distance is used to measure the similarity between the standard feature vector and the feature vector of the unknown ambient noise source. The developed algorithm is applied to the observed ocean data, and the results are presented and discussed.
Abstract
Underwater ambient noise originating from geophysical, biological, and man-made acoustic sources contains information on the source and the ocean environment. Such noise affectsthe performance of sonar equipment. In this paper, three steps are used to identify the ambient noise source, detection, feature extraction, and similarity measurement. First, we use the zero-crossing rate to detect the ambient noisesource from background noise. Then, a set of feature vectors is proposed forthe ambient noise source using the Hilbert-Huang transform and the Karhunen-Loeve transform. Finally, the Euclidean distance is used to measure the similarity between the standard feature vector and the feature vector of the unknown ambient noise source. The developed algorithm is applied to the observed ocean data, and the results are presented and discussed.
참고문헌 (14)
- 반지혜, "다중 특징 벡터를 이용한 고속 오디오 검색", 한국음향학회 춘계학술대회, pp.351~354 (2004)
- 이인재, "경험 모드 분석법을 이용한 감쇠 진동 신호의 분석", 한국소음진동공학회 추계학술발표회, pp.699~704 (2004)
- 임태균, "위그너-빌 분포 함수 기반의 고유치 분해를 이용한 수중 천이 신호 식별", 한국음향학회지, 26(3), pp.123~128 (2007), 한국음향학회
- 조환래, "고차통계 기법과 웨이브렛을 이용한 수중 천이신호 탐지", 한국음향학회지, 22(8), pp.670~679 (2003), 한국음향학회
- Adam,O., "Advantages of the Hilbert Huang transform for marine mammals signals analysis", J. Acoustic. Soc. Am, 120(5), pp.2965~2973 (2006)
- Burred,J.J., "Hierachical automatic audio signal classification", J. Audio Eng. Sec, 52, pp.724~739 (2005)
- Fukunaga, Keinosuke, "Introduction to Statistical Pattern Recognition. Elsevier, 2nd ed." (1990), Academic Press
- Huang,N.E., "The Empirical Mode Decomposition and the Hilbert spectrum for Nonlinear and Nonstationary Time Series Analysis", R. Soc. London, (454), pp.903~995 (1998)
- Knudsen V.O., "Underwater Ambient Noise", 410~429 (1948)
- Rabiner,L., "Fundamentals of Speech Recognition", Prentice-Hall International (1993)
- Ruqiang,Y., "Transient Signal Analysis Based on Hilbert-Huang Transform", of the IMTC, pp.1198~1202 (2005)
- Tou,J.T., "Pattern Recognition Principles" (1974), Addison-Wesley Publishing Company
- Wenz,M., "Acoustic Ambient Noise in the Ocean: Spectra and Sorces", J. Acoustic. Soc. Am, (34), pp.1936~1956 (1962)
- Wu,W., "Speech Detection Based on Hilbert-Huang Transform", the 1st IMSCCS, pp.290~293 (2006)