PARTICLE FILTERING - Adaptive Signal Processing: Next Generation Solutions - page 331

62. M. R. Morelande, C. M. Kreucher, and K. Kastella, A Bayesian approach to multiple target
detection and tracking, IEEE Trans. on Acoustics, Speech and Signal Processing , 55, 1589
(2007).
63. M. Orton and W. Fitzgerald, A Bayesian approach to tracking multiple targets using sensor
arrays and particle filters, IEEE Trans. on Signal Processing , 50, 216, (2002).
64. D. Gatica-Perez, G. Lathoud, J.-M. Odobez, and I. McCowan, Audiovisual probabilistic
tracking of multiple speakers in meetings, IEEE Trans. on Audio, Speech, and Language
Processing , 15, 601, (2007).
65. M. Pitt and N. Shepard, Filtering via simulation: auxiliary particle filters, Journal of the
American Statistical Association , 94, 590, 1999.
66. B. Risti ´ , S. Arulampalam, and N. Gordon, Beyond the Kalman Filter , Boston, MA: Artech
House (2004).
67. M. N. Rosenbluth and A. W. Rosenbluth, Monte Carlo calculation of the average extension
of molecular chains, Journal of Chemical Physics , 23, 356, (1956).
68. D. B. Rubin, Comment on 'The calculation of posterior distributions by data augmenta-
tion', by M. A Tanner and W. H. Wong, Journal of the American Statistical Association ,
82, 543, (1987).
69. A. C. Sankaranarayanan, R. Chellappa, and A. Srivastava, “Algorithmic and architectural
design methodology for particle filters in hardware,” ICCD '05: Proc. of the 2005
International Conference on Computer Design , (2005).
70. H. W. Sorenson and D. L. Alspach, Nonlinear Bayesian estimation using Gaussian sums,
Automatica , 7, 465 (1971).
71. H. W. Sorenson, “Recursive estimation for nonlinear dynamic systems”, in J. C. Spall, Ed.
Bayesian Analysis of Time Series and Dynamic Models , New York: Dekker, (1988).
72. G. Storvik, Particle filters for state-space models with presence of unknown static
parameters, IEEE Trans. on Signal Processing , 50, 281, (2002).
73. P. Tichavsk ´ and C. H. Muravchik and A. Nehorai, Posterior Cram ´ r-Rao bounds for
discrete-time nonlinear filtering, IEEE Trans. on Signal Processing , 46, 1386, (1998).
74. H. L. Van Trees, Detection, Estimation, and Modulation Theory , John Wiley & Sons,
New York, (1968).
75. D. B. Ward, E. A. Lehmann, and R. C. Williamson, Particle filtering algorithms for tracking
an acoustic source in a reverberant environment, IEEE Trans. Speech Audio Processing , 11,
826, (2003).