-
2
-
-
0033683977
-
Comparison of the Particle Filter with Range Parameterised and Modified Polar EKF's for Angle-Only Tracking
-
SPIE
-
S Arulampalam & B Rustic, Comparison of the Particle Filter with Range Parameterised and Modified Polar EKF's for Angle-Only Tracking. Signal and Data Processing of Small Targets 2000, SPIE Volume 4048, pp.288-299.
-
Signal and Data Processing of Small Targets 2000
, vol.4048
, pp. 288-299
-
-
Arulampalam, S.1
Rustic, B.2
-
4
-
-
0008766406
-
Optimal Estimation and Cramer-Rao Bounds for Partial Non-Gaussian State Space Models
-
N Bergman, A Doucet & N Gordon, Optimal Estimation and Cramer-Rao Bounds for Partial Non-Gaussian State Space Models. Ann. Inst. Statist. Math., 2001, Volume 53(1), pp 97-112.
-
(2001)
Ann. Inst. Statist. Math.
, vol.53
, Issue.1
, pp. 97-112
-
-
Bergman, N.1
Doucet, A.2
Gordon, N.3
-
5
-
-
84950445183
-
A Monte Carlo approach to nonnonnal and nonlinear state-space modelling
-
B P Carlin, N G Poison & D S Stoffer, A Monte Carlo approach to nonnonnal and nonlinear state-space modelling, Journal of the American Statistical Association, 1992, 87(418), 493-500.
-
(1992)
Journal of the American Statistical Association
, vol.87
, Issue.418
, pp. 493-500
-
-
Carlin, B.P.1
Poison, N.G.2
Stoffer, D.S.3
-
8
-
-
0008782869
-
Improvement strategies for Monte Carlo particle filters
-
eds A Doucet, J F G de Freitas and N J Gordon, Springer-Verlag: New York
-
T Clapp & S Godsill, Improvement strategies for Monte Carlo particle filters, in Sequential Monte Carlo Methods in Practice, eds A Doucet, J F G de Freitas and N J Gordon, 2001, Springer-Verlag: New York.
-
(2001)
Sequential Monte Carlo Methods in Practice
-
-
Clapp, T.1
Godsill, S.2
-
9
-
-
0032221182
-
Measure Valued Processes and Interacting Particle Systems. Application to Nonlinear Filtering Problems
-
P Del Moral, Measure Valued Processes and Interacting Particle Systems. Application to Nonlinear Filtering Problems. Annals of Applied Probability, 1998, Volume 8, No2, pp 438-495.
-
(1998)
Annals of Applied Probability
, vol.8
, Issue.2
, pp. 438-495
-
-
Del Moral, P.1
-
10
-
-
0001524126
-
Nonlinear Filtering Uing Branching and Interacting Particle Systems
-
D Crisan, P Del Moral & T J Lyons, Nonlinear Filtering Uing Branching and Interacting Particle Systems. Markov Processes and Related Fields, 1999, Volume 5, No 3, pp 293-319.
-
(1999)
Markov Processes and Related Fields
, vol.5
, Issue.3
, pp. 293-319
-
-
Crisan, D.1
Del Moral, P.2
Lyons, T.J.3
-
11
-
-
0001534675
-
Nonlinear Filtering: Interacting Particle Solution
-
P Del Moral, Nonlinear Filtering: Interacting Particle Solution, Markov Processes and Related Fields, Volume 2, No 4, pp 555-580.
-
Markov Processes and Related Fields
, vol.2
, Issue.4
, pp. 555-580
-
-
Del Moral, P.1
-
12
-
-
0003838908
-
On Sequential Monte Carlo Methods for Bayesian Filtering
-
University of Cambridge, UK, Department of Engineering
-
A Doucet, On Sequential Monte Carlo Methods for Bayesian Filtering. 1998, Technical Report, University of Cambridge, UK, Department of Engineering.
-
(1998)
Technical Report
-
-
Doucet, A.1
-
13
-
-
0008802221
-
An introduction to sequential Monte Carlo methods
-
eds A Doucet, J F G de Freitas and N J Gordon, Springer-Verlag: New York
-
A Doucet, J F G de Freitas & N J Gordon, An introduction to sequential Monte Carlo methods, in Sequential Monte Carlo Methods in Practice, eds A Doucet, J F G de Freitas and N J Gordon, 2001, Springer-Verlag: New York.
-
(2001)
Sequential Monte Carlo Methods in Practice
-
-
Doucet, A.1
De Freitas, J.F.G.2
Gordon, N.J.3
-
14
-
-
0001460136
-
On sequential Monte Carlo sampling methods for Bayesian filtering
-
A Doucet, S Godsill & C Andrieu, On sequential Monte Carlo sampling methods for Bayesian filtering, Statistics and Computing, 10(3), 197-208.
-
Statistics and Computing
, vol.10
, Issue.3
, pp. 197-208
-
-
Doucet, A.1
Godsill, S.2
Andrieu, C.3
-
15
-
-
0035266886
-
Particle Filters for State Estimation of Jump Markov Linear Systems
-
March
-
A Doucet, N Gordon & V Krishnamurthy, Particle Filters for State Estimation of Jump Markov Linear Systems. IEEE Transactrions on Signal Processing, March 2001, Volume 49 , No 3, pp 613-624.
-
(2001)
IEEE Transactrions on Signal Processing
, vol.49
, Issue.3
, pp. 613-624
-
-
Doucet, A.1
Gordon, N.2
Krishnamurthy, V.3
-
17
-
-
0027580559
-
Novel Approach to Nonlinear and Non-Gaussian Bayesian State Estimation
-
N Gordon, D Salmond & A F M Smith, Novel Approach to Nonlinear and Non-Gaussian Bayesian State Estimation. IEE Proceedings-F, 1993, Volume 140, pp.107-113.
-
(1993)
IEE Proceedings-F
, vol.140
, pp. 107-113
-
-
Gordon, N.1
Salmond, D.2
Smith, A.F.M.3
-
18
-
-
0035648076
-
Following a Moving Target - Monte Carlo inference for Dynamic Baysian Models
-
W R Gilks & C Berzuini, Following a Moving Target - Monte Carlo inference for Dynamic Baysian Models. Journal of the Royal Statistical Society, B, 2001, Volume 63, pp. 127-146.
-
(2001)
Journal of the Royal Statistical Society, B
, vol.63
, pp. 127-146
-
-
Gilks, W.R.1
Berzuini, C.2
-
22
-
-
0030304310
-
Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models
-
G Kitagawa, Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models. Journal Of Computational and Graphical Statistics, 1996, Volume 5(1), pp.1-25.
-
(1996)
Journal of Computational and Graphical Statistics
, vol.5
, Issue.1
, pp. 1-25
-
-
Kitagawa, G.1
-
23
-
-
0001225908
-
Combined parameter and state estimation in simulation-based filtering
-
eds A Doucet, J F G de Freitas and N J Gordon, Springer-Verlag: New York
-
J Liu & M West, Combined parameter and state estimation in simulation-based filtering, in Sequential Monte Carlo Methods in Practice, eds A Doucet, J F G de Freitas and N J Gordon, 2001, Springer-Verlag: New York.
-
(2001)
Sequential Monte Carlo Methods in Practice
-
-
Liu, J.1
West, M.2
-
25
-
-
0033283939
-
A Probabilistic Exclusion Principle for Tracking Multiple Objects
-
J MacCormick & A Blake, A Probabilistic Exclusion Principle for Tracking Multiple Objects. Proc Int. Conf. Computer Vision, 1999, pp.572-578.
-
(1999)
Proc Int. Conf. Computer Vision
, pp. 572-578
-
-
MacCormick, J.1
Blake, A.2
-
26
-
-
0003345004
-
Improving Regularised Particle Filters
-
eds A Doucet, J F G de Freitas and N J Gordon. Springer-Verlag, New York
-
C Musso, N Oudjane & F LeGland, Improving Regularised Particle Filters, in: Sequential Monte Carlo Methods in Practice, eds A Doucet, J F G de Freitas and N J Gordon. 2001, Springer-Verlag, New York.
-
(2001)
Sequential Monte Carlo Methods in Practice
-
-
Musso, C.1
Oudjane, N.2
LeGland, F.3
-
31
-
-
84962432583
-
The Unscented Kalman Filter for Nonlinear Estimation
-
Lake Louise, Alberta, Canada, Oct
-
E A Wan & R Van der Merwe, The Unscented Kalman Filter for Nonlinear Estimation. In Proceedings of Symposium 2001 on Adaptive Systems for Signal Processing, Communications and Control, Lake Louise, Alberta, Canada, Oct 2000.
-
(2000)
Proceedings of Symposium 2001 on Adaptive Systems for Signal Processing, Communications and Control
-
-
Wan, E.A.1
Van Der Merwe, R.2
|