DocumentCode :
3530150
Title :
State Transition Matrix for an HMM based underwater target classifier
Author :
Binesh, T. ; Supriya, M.H. ; Pillai, P. R Saseendran
Author_Institution :
Dept. of Electron., Cochin Univ. of Sci. & Technol., Kochi, India
fYear :
2009
fDate :
18-20 Nov. 2009
Firstpage :
66
Lastpage :
71
Abstract :
The problem of identification of noise sources in the ocean is of prime importance because of its diverse practical applications. Hidden Markov Models provide an effective architecture for the classification of underwater noise sources. A technique for the estimation of State Transition Matrix for a twenty state Hidden Markov Model for the classification of noise sources in the ocean is presented in this paper. The results of classification studies using the noise data waveforms of certain marine species, utilising the state transition matrix approach is also presented.
Keywords :
geophysical signal processing; hidden Markov models; matrix algebra; oceanographic techniques; signal classification; target tracking; waveform analysis; HMM; hidden Markov model; noise data waveform; noise source identification; state transition matrix; underwater noise source classification; underwater target classifier; Cepstral analysis; Clustering algorithms; Data models; Estimation; Feature extraction; Hidden Markov models; Noise; Cepstral Coefficients; Forward-Backward Algorithm; Hidden Markov Models; K means Algorithm; Linear Prediction Coefficients;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ocean Electronics (SYMPOL), 2009 International Symposium on
Conference_Location :
Cochin
Print_ISBN :
978-1-4244-9119-3
Electronic_ISBN :
978-1-4244-9118-6
Type :
conf
DOI :
10.1109/SYMPOL.2009.5664145
Filename :
5664145
Link To Document :
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