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Volumn 6562, Issue , 2007, Pages

Acoustic classification of battlefield transient events using wavelet sub-band features

Author keywords

Acoustic transient classification; Collaborative distributed sensors; Maximum Likelihood signal estimation; Wavelet subband features

Indexed keywords

ACOUSTIC TRANSIENT CLASSIFICATION; COLLABORATIVE DISTRIBUTED SENSORS; MAXIMUM LIKELIHOOD SIGNAL ESTIMATION; WAVELET SUBBAND FEATURES;

EID: 35948987665     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.722296     Document Type: Conference Paper
Times cited : (10)

References (10)
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    • Sadler, B.1    Pham, T.2    Sadler, L.3
  • 7
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    • Transient sonar signal classification using hidden Markov models and neural nets
    • Jan
    • A. Kundu, G. C. Chen, and C. E. Persons, "Transient sonar signal classification using hidden Markov models and neural nets," Journal of Ocean Engineering, vol. 19, pp. 87-99, Jan 1994.
    • (1994) Journal of Ocean Engineering , vol.19 , pp. 87-99
    • Kundu, A.1    Chen, G.C.2    Persons, C.E.3
  • 8
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    • A neural network based hybrid system for detection, characterization, and classification of short-duration oceanic signals
    • Oct
    • J. Ghosh, L. M. Deusev., and S. D. Beck, "A neural network based hybrid system for detection, characterization, and classification of short-duration oceanic signals," IEEE Journal of Ocean Engineering, vol. 17, pp. 351-363, Oct 1992.
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    • Ghosh, J.1    Deusev, L.M.2    Beck, S.D.3
  • 9
    • 0037662946 scopus 로고    scopus 로고
    • S. A. Probert and Y. II. Song, Detection and classification of high frequency transients using wavelet analysis, IEEE Power Engineering Society Summer Meeting, 2, pp. 801 - 800, July 2002.
    • S. A. Probert and Y. II. Song, "Detection and classification of high frequency transients using wavelet analysis," IEEE Power Engineering Society Summer Meeting, vol. 2, pp. 801 - 800, July 2002.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.