Online bayesian estimation of hidden Markov models with unknown transition matrix and applications to IEEE 802.11 networks

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn IV, Issue , 2005, Pages

  Vercauteren, Tom ^a   Toledo, Alberto Lopez ^b   Wang, Xiaodong ^b  

^a INRIA   (France)

^b Columbia University Department of Electrical Engineering ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION; SIGNAL PROCESSING; TELECOMMUNICATION NETWORKS;

BAYESIAN SIGNAL PROCESSING; HIDDEN MARKOV MODELS (HMM); MAXIMUM A POSTERIORI (MAP) ALGORITHM; TRANSITION MATRIX;

MARKOV PROCESSES;

EID: 33646816059     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1415933     Document Type: Conference Paper

References (7)

1. L R Rabiner, "A tutorial on hidden Markov models and selected application in speech recognition," Proc. IEEE, vol. 77, no. 2, pp. 257-285, Feb. 1989.
2. G Storvik, "Particle filters for state-space models with the presence of unknown static parameters," IEEE Trans. Signal Processing, vol. 50, no. 2, pp. 281-289, Feb. 2002.
3. Elena Punskaya, Sequential Monte Carlo Methods for Digital Communications, Ph.D. thesis, University of Cambridge, 2003.
4. A Doucet, N de Freitas, and N Gordon, Eds., Sequential Monte Carlo Methods in Practice, Springer-Verlag, 2001.
5. Paul Fearnhead and Peter Clifford, "On-line inference for hidden Markov models via particle filters," J. R. Statist. Soc. (B), vol. 65, no. 4, pp. 887-899, 2003.
6. Giuseppe Bianchi and Ilenia Tinnirello, "Kalman fitler estimation of the number of competing termnals in an IEEE 802.11 network," in Proc. Infocom 2003, San Francisco, CA, Mar. 2003, vol. 2, pp. 844-852.
7. Giuseppe Bianchi, "Performance analysis of the IEEE 802.11 distributed coordination function," IEEE J. Select. Areas Commun., vol. 18, no. 3, pp. 535-547, Mar. 2000.