Signal detection in underwater sound using the empirical mode decomposition

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Volumn E89-A, Issue 9, 2006, Pages 2415-2421

  Wang, Fu Tai ^a,b   Chang, Shun Hsyung ^a,c   Lee, Jenny Chih Yu ^c  

^a NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

^b HWA HSIA INSTITUTE OF TECHNOLOGY   (Taiwan)

^c NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

Empirical mode decomposition; Signal detection; Underwater sound; Wavelet

Indexed keywords

COMPUTER SIMULATION; FUNCTIONS; NONLINEAR SYSTEMS; PROBLEM SOLVING; UNDERWATER ACOUSTICS; WAVELET TRANSFORMS;

DWT-BASED METHOD; EMPIRICAL MODE DECOMPOSITION; RECEIVER OPERATING CHARACTERISTICS (ROC); UNDERWATER SOUND;

SIGNAL DETECTION;

EID: 33748765224     PISSN: 09168508     EISSN: 17451337     Source Type: Journal    
DOI: 10.1093/ietfec/e89-a.9.2415     Document Type: Conference Paper

References (16)

1. A.V. Oppenheim and R.W. Schafer, Digital Signal Processing, Prentice-Hall, NJ, 1989.
2. P. Abry and P. Flandrin, "Multiresolution transient detection," Proc. IEEE-SP Int. Symp. Time-Freq. Time-Scale Anal., pp.225-228, Oct. 1994.
3. S.A. Benno and J.M.F. Moura, "On translation invariant subspaces and critically sampled wavelet transforms," Multidimensional Systems and Signal Process., vol.8, pp.89-110, Jan. 1997.
4. T.C. Bailey, T. Sapatinas, K.J. Powell, and W.J. Krzanowski, "Signal detection in underwater sound using wavelets," J. Amer. Statist. Assoc., vol.93, no.441, pp.73-83, March 1998.
5. S.R. Massel, "Wavelet analysis for processing of ocean surface wave records," Ocean Engineering, no.28, pp.957-987, 2001.
6. S.H. Chang and F.T. Wang, "Application of the robust discrete wavelet transform to signal detection in underwater sound," Int. J. Electron., vol.90, no.6, pp.361-371, 2003.
7. F.T. Wang and S.H. Chang, "Signal detection in underwater sound by dual-tree discrete wavelet transform," submitted for publication.
8. N.E. Huang, Z. Shen, S.R. Long, M.C. Wu, H.H. Shih, Q. Zheng, N.C. Yen, C.C. Tung, and H.H. Liu, "The empirical decomposition and the Hubert spectrum for nonlinear and non-stationary time series analysis," Proc. R. Soc. Lond. A., vol.454, pp.903-995, 1998.
9. N.E. Huang, M.L. Wu, S.R. Long, S.P. Shen, WQ. Per, P. Gloersen, and K.L. Fan, "A confidence limit for the empirical mode decomposition and the Hubert spectral analysis," Proc. R. Soc. Lond., no.459, pp.2317-2345, 2003.
10. A.D. Veltcheva and C.G. Soares, "Identification of the components of wave spectra by the Hubert Huang transform method," Applied Ocean Research, no.26, pp. 1-12, 2004.
11. P. Flandrin, G. Rilling, and P. Goncalves, "Empirical mode decomposition as a filter bank," IEEE Signal Process. Lett., vol.11, no.2, pp.112-114, Feb. 2004.
12. M. Goodall, The Way of the Ocean, New World Music, 1998.
13. B.W. Silverman, Density Estimation for Statistics and Data Analysis, p.78, Chapman and Hall, London, 1986.
14. F. Mosteller and J.W. Tukey, Data Analysis and Regression, pp.203-219, Addison-Wesley, 1977.
15. P.A. Tukey and J.W. Tukey, Graphical Display of Data sets in 3 or more Dimensions, pp.189-275, Wesley, Chichester, 1981.
16. A.M. Gross, "Confidence-interval robustness with long-tailed symmetric distribution," J. Amer. Statist. Assoc., vol.71, pp.409-416, 1976.