Determining class of underwater vehicles in passive sonar using Hidden Markov Model with Hausdorff Similarity Measure

UT 1998 - Proceedings of the 1998 International Symposium on Underwater Technology

Volumn , Issue , 1998, Pages 258-261

  Peyvandi, Hossein ^a,b   Fazaeefar, Behnam ^a   Amindavar, Hamidreza ^a,c  

^a Engineering Research Center   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

^c AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Classification; Hausdorff Similarity Measure; Hidden Markov Model; SONAR

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; ACOUSTIC WAVES; CLASSIFICATION (OF INFORMATION); HIDDEN MARKOV MODELS; MARKOV PROCESSES; SIGNAL PROCESSING; SONAR; SPEECH RECOGNITION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

ACOUSTIC SIGNALS; ENVIRONMENTAL NOISE; OPTIMAL NUMBER; PASSIVE SONAR; SIMILARITY MEASURE; SPOKEN WORDS; TEST SECTIONS; UNDERWATER VEHICLES;

UNDERWATER ACOUSTICS;

EID: 33746897652     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UT.1998.670104     Document Type: Conference Paper

References (4)

1. R. J. Urick. "Principles of Underwater Sound," New York. McGraw-Hill, 1983.
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3. A. Kundu, G. C. Chen and C. E. Persons, "Transient SONAR Signal Classification Using Hidden Markov Models and Neural Nets," IEEE J. Ocean. Eng., Vol 19, No. 1, Jan. 1994.
4. J. Ghosh, L. M. Denser and S. D. Beck, "A Neural Network Based Hybrid System for Detection, Characterization and Classification of Short-Duration Oceanic Signals," IEEE J. Ocean. Eng., Vol 17, No. 4, Oct. 1992.