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Volumn 3, Issue , 2001, Pages 592-595

Principal component analysis for classifying passive sonar signals

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION EFFICIENCY; FREQUENCY DOMAINS; NEURAL IDENTIFICATION; PASSIVE SONAR; RADIATED NOISE;

EID: 0035016265     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2001.921380     Document Type: Conference Paper
Times cited : (29)

References (14)
  • 1
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    • (1988) Neural Networks , vol.2 , Issue.1 , pp. 53-58
    • Baldi, P.1    Hornik, K.2
  • 3
    • 0028555207 scopus 로고
    • Nonlinear principal component analysis - Based on principal component curves and neural networks
    • D. Dong and T. McAvoy. Nonlinear principal component analysis - based on principal component curves and neural networks. In American Control Conference, pages 1284-1288, 1994.
    • (1994) American Control Conference , pp. 1284-1288
    • Dong, D.1    McAvoy, T.2
  • 5
    • 0026113980 scopus 로고
    • Nonlinear principal component analysis using autoassociative neural networks
    • M. Kramer. Nonlinear principal component analysis using autoassociative neural networks. AICHE Journal, 37(2):233-243, 1991.
    • (1991) AICHE Journal , vol.37 , Issue.2 , pp. 233-243
    • Kramer, M.1
  • 9
    • 84888054970 scopus 로고    scopus 로고
    • A compact neural electrical load monitoring system
    • São Paulo, Brazil
    • J. Seixas, C. Prado, L. Calôba, and J. Aguiar. A compact neural electrical load monitoring system. In Third IEEE INDUSCON, pages 25-29, São Paulo, Brazil, 1998.
    • (1998) Third IEEE INDUSCON , pp. 25-29
    • Seixas, J.1    Prado, C.2    Calôba, L.3    Aguiar, J.4
  • 11
    • 0021626865 scopus 로고
    • A performance comparison of four noise background normalization schemes proposed for signal detection systems
    • W. A. Struzinski and E. D. Lowe. A performance comparison of four noise background normalization schemes proposed for signal detection systems. Journal of the Acoustical Society of America, 76(6):1738-1742, 1984.
    • (1984) Journal of the Acoustical Society of America , vol.76 , Issue.6 , pp. 1738-1742
    • Struzinski, W.A.1    Lowe, E.D.2
  • 12
    • 0032136671 scopus 로고    scopus 로고
    • Use of nonlinear principal component analysis and vector quantization for image coding
    • PII S1057714998053135
    • D. Tzovaras and M. Strintzis. Use of nonlinear principal component analysis and vector quantization for image coding. IEEE Transactions on Image Processing, 7(8):1218-1223. 1998. (Pubitemid 128744224)
    • (1998) IEEE Transactions on Image Processing , vol.7 , Issue.8 , pp. 1218-1223
    • Tzovaras, D.1    Strintzis, M.G.2
  • 14
    • 0026745682 scopus 로고
    • Modified hebbian learning for curve and surface fitting
    • L. Xu, E. Oja, and C. Suen. Modified hebbian learning for curve and surface fitting. Neural Networks, 5:441-457, 1992.
    • (1992) Neural Networks , vol.5 , pp. 441-457
    • Xu, L.1    Oja, E.2    Suen, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.