메뉴 건너뛰기




Volumn 83, Issue 2, 2003, Pages 235-250

A hidden semi-Markov model with missing data and multiple observation sequences for mobility tracking

Author keywords

Expectation maximization (EM) algorithm; Ferguson algorithm; Forward backward algorithm; Hidden Markov model (HMM); Hidden semi Markov Model (HSMM); HMM with explicit duration; Maximum likelihood (ML) estimation; Missing data; Multiple observations

Indexed keywords

ALGORITHMS; DATA ACQUISITION; INTERNET; MARKOV PROCESSES; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; PROBABILITY;

EID: 0037290753     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(02)00378-X     Document Type: Article
Times cited : (92)

References (25)
  • 1
    • 0016037512 scopus 로고
    • Optimal decoding of liner codes for minimizing symbol error rate
    • March
    • L.R. Bahl, J. Cocke, F. Jelinek, J. Raviv, Optimal decoding of liner codes for minimizing symbol error rate, IEEE Trans. Inform. Theory (March 1974) 284-287.
    • (1974) IEEE Trans. Inform. Theory , pp. 284-287
    • Bahl, L.R.1    Cocke, J.2    Jelinek, F.3    Raviv, J.4
  • 3
    • 0000353178 scopus 로고
    • A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains
    • Baum L.E., Petrie T., Soules G., Weiss N. A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Ann. Math. Statist. 41(1):1970;164-171.
    • (1970) Ann. Math. Statist. , vol.41 , Issue.1 , pp. 164-171
    • Baum, L.E.1    Petrie, T.2    Soules, G.3    Weiss, N.4
  • 9
    • 0015600423 scopus 로고
    • The Viterbi algorithm
    • March
    • Forney G.D. The Viterbi algorithm. Proc. IEEE. 61(3):March 1973;268-278.
    • (1973) Proc. IEEE , vol.61 , Issue.3 , pp. 268-278
    • Forney, G.D.1
  • 10
    • 0011973274 scopus 로고    scopus 로고
    • http://www-nrc.nokia.com/ietf-spatial/others.html.
  • 11
  • 15
    • 0035472323 scopus 로고    scopus 로고
    • Recognition of noisy speech by a nonstationary AR HMM with gain adaptation under unknown noise
    • October
    • Lee K.Y., Lee J. Recognition of noisy speech by a nonstationary AR HMM with gain adaptation under unknown noise. IEEE Trans. Speech Audio Process. 9(7):October 2001;741-746.
    • (2001) IEEE Trans. Speech Audio Process , vol.9 , Issue.7 , pp. 741-746
    • Lee, K.Y.1    Lee, J.2
  • 16
    • 0028527729 scopus 로고
    • Traffic models for wireless communication networks
    • October
    • Leung K.K., Massey W.A., Whitt W. Traffic models for wireless communication networks. IEEE J. Select. Areas Comm. 12(8):October 1994;1353-1364.
    • (1994) IEEE J. Select. Areas Comm. , vol.12 , Issue.8 , pp. 1353-1364
    • Leung, K.K.1    Massey, W.A.2    Whitt, W.3
  • 17
    • 0022685753 scopus 로고
    • Continuously variable duration hidden Markov models for automatic speech recognition
    • Levinson S.E. Continuously variable duration hidden Markov models for automatic speech recognition. Comput. Speech Language. 1(1):1986;29-45.
    • (1986) Comput. Speech Language , vol.1 , Issue.1 , pp. 29-45
    • Levinson, S.E.1
  • 19
    • 0030247529 scopus 로고    scopus 로고
    • Modeling acoustic transitions in speech by modified hidden Markov models with state duration and state duration-dependent observation probabilities
    • September
    • Park Y.K., Un C.K., Kwon O.W. Modeling acoustic transitions in speech by modified hidden Markov models with state duration and state duration-dependent observation probabilities. IEEE Trans. Speech Audio Process. 4(5):September 1996;389-392.
    • (1996) IEEE Trans. Speech Audio Process. , vol.4 , Issue.5 , pp. 389-392
    • Park, Y.K.1    Un, C.K.2    Kwon, O.W.3
  • 20
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected application in speech recognition
    • February
    • Rabiner L.R. A tutorial on hidden Markov models and selected application in speech recognition. Proc. IEEE. 77(2):February 1989;257-286.
    • (1989) Proc. IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 21
    • 84978308497 scopus 로고
    • Modeling state durations in hidden Markov models for automatic speech recognition
    • P. Ramesh, J.G. Wilpon, Modeling state durations in hidden Markov models for automatic speech recognition, Proceedings of ICASSP, 1992, pp. 381-384.
    • (1992) Proceedings of ICASSP , pp. 381-384
    • Ramesh, P.1    Wilpon, J.G.2
  • 22
    • 0029368174 scopus 로고
    • Nonstationary hidden Markov model
    • Sin B., Kim J.H. Nonstationary hidden Markov model. Signal Processing. 46:1995;31-46.
    • (1995) Signal Processing , vol.46 , pp. 31-46
    • Sin, B.1    Kim, J.H.2
  • 24
    • 0029184546 scopus 로고
    • State duration modeling in hidden Markov models
    • Vaseghi S.V. State duration modeling in hidden Markov models. Signal Processing. 41:1995;31-41.
    • (1995) Signal Processing , vol.41 , pp. 31-41
    • Vaseghi, S.V.1
  • 25
    • 84935113569 scopus 로고
    • Error bounds for convolutional codes and an asymptotically optimal decoding algorithm
    • April
    • Viterbi A.J. Error bounds for convolutional codes and an asymptotically optimal decoding algorithm. IEEE Trans. Inform. Theory. IT-13:April 1967;260-269.
    • (1967) IEEE Trans. Inform. Theory , vol.IT-13 , pp. 260-269
    • Viterbi, A.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.