-
1
-
-
0027580559
-
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
-
N. Gordon, D. Salmond, and A. Smith, "Novel approach to nonlinear/non-Gaussian Bayesian state estimation," IEE Proc., F Radar Signal Process., vol. 140, no. 2, pp. 107-113, 1993.
-
(1993)
IEE Proc., F Radar Signal Process.
, vol.140
, Issue.2
, pp. 107-113
-
-
Gordon, N.1
Salmond, D.2
Smith, A.3
-
2
-
-
77951131231
-
A tutorial on particle filtering and smoothing: Fifteen years later
-
E. D. Crisan and B. Rozovsky, Eds. Oxford, London: Oxford Univ. Press
-
A. Doucet and A. M. Johansen, "A tutorial on particle filtering and smoothing: Fifteen years later," in Handbook of Nonlinear Filtering, E. D. Crisan and B. Rozovsky, Eds. Oxford, London: Oxford Univ. Press, 2011, pp. 656-704.
-
(2011)
Handbook of Nonlinear Filtering
, pp. 656-704
-
-
Doucet, A.1
Johansen, A.M.2
-
3
-
-
0001460136
-
On sequential Monte Carlo sampling methods for Bayesian filtering
-
A. Doucet, S. J. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian filtering," Stat. Comput., vol. 10, no. 3, pp. 197-208, 2000.
-
(2000)
Stat. Comput.
, vol.10
, Issue.3
, pp. 197-208
-
-
Doucet, A.1
Godsill, S.J.2
Andrieu, C.3
-
4
-
-
0036475447
-
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
-
M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Trans. Signal Processing, vol. 50, no. 2, pp. 174-188, 2002.
-
(2002)
IEEE Trans. Signal Processing
, vol.50
, Issue.2
, pp. 174-188
-
-
Arulampalam, M.S.1
Maskell, S.2
Gordon, N.3
Clapp, T.4
-
5
-
-
85032752106
-
Particle filtering
-
P. M. Djurić, J. H. Kotecha, J. Zhang, Y. Huang, T. Ghirmai, M. F. Bugallo, and J. Míguez, "Particle filtering," IEEE Signal Processing Mag., vol. 20, no. 5, pp. 19-38, 2003.
-
(2003)
IEEE Signal Processing Mag.
, vol.20
, Issue.5
, pp. 19-38
-
-
Djurić, P.M.1
Kotecha, J.H.2
Zhang, J.3
Huang, Y.4
Ghirmai, T.5
Bugallo, M.F.6
Míguez, J.7
-
6
-
-
44649107771
-
An overview of existing methods and recent advances in sequential Monte Carlo
-
O. Cappé, S. J. Godsill, and E. Moulines, "An overview of existing methods and recent advances in sequential Monte Carlo," IEEE Proc., vol. 95, no. 5, pp. 899-924, 2007.
-
(2007)
IEEE Proc.
, vol.95
, Issue.5
, pp. 899-924
-
-
Cappé, O.1
Godsill, S.J.2
Moulines, E.3
-
7
-
-
0030304310
-
Monte Carlo filter and smoother and non-Gaussian nonlinear state space models
-
G. Kitagawa, "Monte Carlo filter and smoother and non-Gaussian nonlinear state space models," J. Comput. Graph. Stat., vol. 5, no. 1, pp. 1-25, 1996.
-
(1996)
J. Comput. Graph. Stat.
, vol.5
, Issue.1
, pp. 1-25
-
-
Kitagawa, G.1
-
8
-
-
0032626544
-
An improved particle filter for nonlinear problems
-
J. Carpenter, P. Clifford, and P. Fearnhead, "An improved particle filter for nonlinear problems," IEE Proc., Radar Sonar Navigat., vol. 146, no. 1, pp. 2-7, 1999.
-
(1999)
IEE Proc., Radar Sonar Navigat.
, vol.146
, Issue.1
, pp. 2-7
-
-
Carpenter, J.1
Clifford, P.2
Fearnhead, P.3
-
9
-
-
0030865496
-
A fast-weighted Bayesian bootstrap filter for nonlinear model state estimation
-
E. R. Beadle and P. M. Djurić, "A fast-weighted Bayesian bootstrap filter for nonlinear model state estimation," IEEE Trans. Aerosp. Electron. Syst., vol. 33, no. 1, pp. 338-343, 1997.
-
(1997)
IEEE Trans. Aerosp. Electron. Syst.
, vol.33
, Issue.1
, pp. 338-343
-
-
Beadle, E.R.1
Djurić, P.M.2
-
10
-
-
0032359151
-
Sequential Monte-Carlo methods for dynamic systems
-
J. Liu and R. Chen, "Sequential Monte-Carlo methods for dynamic systems," J. Amer. Statist. Assoc., vol. 93, no. 443, pp. 1032-1044, 1998.
-
(1998)
J. Amer. Statist. Assoc.
, vol.93
, Issue.443
, pp. 1032-1044
-
-
Liu, J.1
Chen, R.2
-
11
-
-
0000978881
-
A theoretical framework for sequential importance sampling and resampling
-
A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer
-
J. S. Liu, R. Chen, and T. Logvinenko, "A theoretical framework for sequential importance sampling and resampling," in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer, 2001, pp. 225-246.
-
(2001)
Sequential Monte Carlo Methods in Practice
, pp. 225-246
-
-
Liu, J.S.1
Chen, R.2
Logvinenko, T.3
-
12
-
-
11844302910
-
Resampling algorithms for particle filters: A computational complexity perspective
-
M. Bolić, P. M. Djurić, and S. Hong, "Resampling algorithms for particle filters: A computational complexity perspective," EURASIP J. Appl. Signal Process., vol. 2004, no. 15, pp. 2267-2277, 2004.
-
(2004)
EURASIP J. Appl. Signal Process.
, vol.2004
, Issue.15
, pp. 2267-2277
-
-
Bolić, M.1
Djurić, P.M.2
Hong, S.3
-
14
-
-
48049091162
-
On resampling algorithms for particle filters
-
J. D. Hol, T. B. Schön, and F. Gustafsson, "On resampling algorithms for particle filters," in Proc. IEEE Nonlinear Statistical Signal Processing Workshop, 2006, pp. 79-82.
-
Proc. IEEE Nonlinear Statistical Signal Processing Workshop, 2006
, pp. 79-82
-
-
Hol, J.D.1
Schön, T.B.2
Gustafsson, F.3
-
15
-
-
84950788916
-
A noniterative sampling/importance resampling alternative to the data augmentation algorithm for creating a few imputations when fractions of missing information are modest: The SIR algorithm
-
D. B. Rubin, "A noniterative sampling/importance resampling alternative to the data augmentation algorithm for creating a few imputations when fractions of missing information are modest: The SIR algorithm," J. Amer. Statist. Assoc., vol. 82, no. 398, pp. 543-546, 1987.
-
(1987)
J. Amer. Statist. Assoc.
, vol.82
, Issue.398
, pp. 543-546
-
-
Rubin, D.B.1
-
16
-
-
84862787562
-
Deterministic resampling: Unbiased sampling to avoid sample impoverishment in particle filters
-
T. Li, T. P. Sattar, and S. Sun, "Deterministic resampling: Unbiased sampling to avoid sample impoverishment in particle filters," Signal Process., vol. 92, no. 7, pp. 1637-1645, 2012.
-
(2012)
Signal Process.
, vol.92
, Issue.7
, pp. 1637-1645
-
-
Li, T.1
Sattar, T.P.2
Sun, S.3
-
17
-
-
0032351643
-
Rejection control and sequential importance sampling
-
J. S. Liu, R. Chen, and W. H. Wong, "Rejection control and sequential importance sampling," J. Amer. Statist. Assoc., vol. 93, no. 443, pp. 1022-1031, 1998.
-
(1998)
J. Amer. Statist. Assoc.
, vol.93
, Issue.443
, pp. 1022-1031
-
-
Liu, J.S.1
Chen, R.2
Wong, W.H.3
-
18
-
-
1542427941
-
Filtering via simulation: Auxiliary particle filters
-
M. K. Pitt and N. Shephard, "Filtering via simulation: Auxiliary particle filters,"J. Amer. Statist. Assoc., vol. 94, no. 446, pp. 590-591, 1999.
-
(1999)
J. Amer. Statist. Assoc.
, vol.94
, Issue.446
, pp. 590-591
-
-
Pitt, M.K.1
Shephard, N.2
-
19
-
-
0141453728
-
New resampling algorithms for particle filters
-
M. Bolić, P. M. Djurić, S. Hong, "New resampling algorithms for particle filters," in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, 2003, vol. 2, pp. 589-592.
-
Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, 2003
, vol.2
, pp. 589-592
-
-
Bolić, M.1
Djurić, P.M.2
Hong, S.3
-
20
-
-
34248634883
-
A survey of numerical methods for nonlinear filtering problems
-
A. Budhiraja, L. Chen, and C. Lee, "A survey of numerical methods for nonlinear filtering problems," Physica D, vol. 230, no. 1-2, pp. 27-36, 2007.
-
(2007)
Physica D
, vol.230
, Issue.1-2
, pp. 27-36
-
-
Budhiraja, A.1
Chen, L.2
Lee, C.3
-
21
-
-
0033261066
-
A particle approximation of the solution of the Kushner-Stratonovitch equation
-
D. Crisan and T. Lyons, "A particle approximation of the solution of the Kushner-Stratonovitch equation," Prob. Theory Relat. Fields, vol. 115, no. 4, pp. 549-578, 1999.
-
(1999)
Prob. Theory Relat. Fields
, vol.115
, Issue.4
, pp. 549-578
-
-
Crisan, D.1
Lyons, T.2
-
22
-
-
84927627318
-
A fast resampling scheme for particle filters
-
T. Li, T. P. Sattar, and D. Tang, "A fast resampling scheme for particle filters,"in Proc. Constantinides International Workshop on Signal Processing, 2013, pp. 1-4.
-
Proc. Constantinides International Workshop on Signal Processing, 2013
, pp. 1-4
-
-
Li, T.1
Sattar, T.P.2
Tang, D.3
-
23
-
-
77955733455
-
Monte Carlo localization for mobile robot using adaptive particle merging and splitting technique
-
T. Li, S. Sun, and J. Duan, "Monte Carlo localization for mobile robot using adaptive particle merging and splitting technique," in Proc. IEEE Int. Conf. Information and Automation, 2010, pp. 1913-1918.
-
Proc. IEEE Int. Conf. Information and Automation, 2010
, pp. 1913-1918
-
-
Li, T.1
Sun, S.2
Duan, J.3
-
24
-
-
0242550819
-
On-line inference for hidden Markov models via particle filters
-
P. Fearnhead and P. Clifford, "On-line inference for hidden Markov models via particle filters," J. R. Statist. Soc.: Ser. B, vol. 65, no. 4, pp. 887-899, 2003.
-
(2003)
J. R. Statist. Soc.: Ser. B
, vol.65
, Issue.4
, pp. 887-899
-
-
Fearnhead, P.1
Clifford, P.2
-
25
-
-
77957588325
-
Increased-diversity systematic resampling in particle filtering for BLAST
-
J. Zheng, B. Bai, and X. Wang, "Increased-diversity systematic resampling in particle filtering for BLAST," J. Syst. Eng. Electron., vol. 20, no. 3, pp. 493-498, 2009.
-
(2009)
J. Syst. Eng. Electron.
, vol.20
, Issue.3
, pp. 493-498
-
-
Zheng, J.1
Bai, B.2
Wang, X.3
-
26
-
-
0344445520
-
Adapting the sample size in particle filters through KLD-sampling
-
D. Fox, "Adapting the sample size in particle filters through KLD-sampling,"Int. J. Robot. Res., vol. 22, no. 12, pp. 985-1003, 2003.
-
(2003)
Int. J. Robot. Res.
, vol.22
, Issue.12
, pp. 985-1003
-
-
Fox, D.1
-
27
-
-
84879755262
-
Adapting sample size in particle filters through KLD-resampling
-
T. Li, S. Sun, and T. Sattar, "Adapting sample size in particle filters through KLD-resampling," Electron. Lett., vol. 46, no. 2, pp. 740-742, 2013.
-
(2013)
Electron. Lett.
, vol.46
, Issue.2
, pp. 740-742
-
-
Li, T.1
Sun, S.2
Sattar, T.3
-
28
-
-
0035648076
-
Following a moving target-Monte Carlo inference for dynamic Bayesian models
-
W. R. Gilks and C. Berzuini, "Following a moving target-Monte Carlo inference for dynamic Bayesian models," J. R. Statist. Soc. B, vol. 63, no. 1, pp. 127-146, 2001.
-
(2001)
J. R. Statist. Soc. B
, vol.63
, Issue.1
, pp. 127-146
-
-
Gilks, W.R.1
Berzuini, C.2
-
29
-
-
0003345004
-
Improving regularized particle filters
-
A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer
-
C. Musso, N. Oudjane, and F. Legland, "Improving regularized particle filters,"in Sequential Monte Carlo Methods in Practice, A. Doucet, N. de Freitas, and N. Gordon, Eds. New York: Springer, 2001, pp. 247-272.
-
(2001)
Sequential Monte Carlo Methods in Practice
, pp. 247-272
-
-
Musso, C.1
Oudjane, N.2
Legland, F.3
-
30
-
-
85032750861
-
Distributed particle filtering in agent networks: A survey, classification, and comparison
-
O. Hlinka, F. Hlawatsch, and P. M. Djurić, "Distributed particle filtering in agent networks: A survey, classification, and comparison," IEEE Signal Process. Mag., vol. 30, no. 1, pp. 61-81, 2013.
-
(2013)
IEEE Signal Process. Mag.
, vol.30
, Issue.1
, pp. 61-81
-
-
Hlinka, O.1
Hlawatsch, F.2
Djurić, P.M.3
-
31
-
-
33746464991
-
Design and implementation of flexible resampling mechanism for high-speed parallel particle filters
-
S. Hong, S. Chin, and P. M. Djurić, "Design and implementation of flexible resampling mechanism for high-speed parallel particle filters," J. VLSI Signal Process., vol. 44, no. 1-2, pp. 47-62, 2006.
-
(2006)
J. VLSI Signal Process.
, vol.44
, Issue.1-2
, pp. 47-62
-
-
Hong, S.1
Chin, S.2
Djurić, P.M.3
-
32
-
-
23844537477
-
Resampling algorithms and architectures for distributed particle filters
-
M. Bolić, P. M. Djurić, and S. Hong, "Resampling algorithms and architectures for distributed particle filters," IEEE Trans. Signal Processing, vol. 53, no. 7, pp. 2442-2450, 2005.
-
(2005)
IEEE Trans. Signal Processing
, vol.53
, Issue.7
, pp. 2442-2450
-
-
Bolić, M.1
Djurić, P.M.2
Hong, S.3
-
34
-
-
78649438413
-
Speedup and tracking accuracy evaluation of parallel particle filter algorithms implemented on a multicore architecture
-
O. Rosén, A. Medvedev, and M. Ekman, "Speedup and tracking accuracy evaluation of parallel particle filter algorithms implemented on a multicore architecture," in Proc. IEEE Int. Conf. Control Applications, 2010, pp. 440-445.
-
Proc. IEEE Int. Conf. Control Applications, 2010
, pp. 440-445
-
-
Rosén, O.1
Medvedev, A.2
Ekman, M.3
-
35
-
-
79953281033
-
Particle filtering: The need for speed
-
June
-
G. Hendeby, R. Karlsson, and F. Gustafsson, "Particle filtering: The need for speed," EURASIP J. Adv. Signal Process., vol. 2010, pp. 22:1-22:9, June 2010.
-
(2010)
EURASIP J. Adv. Signal Process.
, vol.2010
, pp. 22:1-22:9
-
-
Hendeby, G.1
Karlsson, R.2
Gustafsson, F.3
-
36
-
-
84871741461
-
Load balanced resampling for real-time particle filtering on graphics processing units
-
K. Hwang and W. Sung, "Load balanced resampling for real-time particle filtering on graphics processing units," IEEE Trans. Signal Processing, vol. 61, no. 2, pp. 411-419, 2013.
-
(2013)
IEEE Trans. Signal Processing
, vol.61
, Issue.2
, pp. 411-419
-
-
Hwang, K.1
Sung, W.2
-
37
-
-
84863768476
-
A graphics processing unit implementation of the particle filter
-
G. Hendeby, J. D. Hol, R. Karlsson, and F. Gustafsson, "A graphics processing unit implementation of the particle filter," in Proc. European Signal Processing Conf., 2007, pp. 1639-1643.
-
Proc. European Signal Processing Conf., 2007
, pp. 1639-1643
-
-
Hendeby, G.1
Hol, J.D.2
Karlsson, R.3
Gustafsson, F.4
-
39
-
-
42649094834
-
Algorithmic and architectural optimizations for computationally efficient particle filtering
-
A. C. Sankaranarayanan, A Srivastava, and R Chellappa, "Algorithmic and architectural optimizations for computationally efficient particle filtering," IEEE Trans. Image Processing, vol. 17, no. 5, pp. 737-748, 2008.
-
(2008)
IEEE Trans. Image Processing
, vol.17
, Issue.5
, pp. 737-748
-
-
Sankaranarayanan, A.C.1
Srivastava, A.2
Chellappa, R.3
-
40
-
-
80051607882
-
Efficient distributed resampling for particle filters
-
B. Balasingam, M. Bolić, P. M. Djurić, and J. Míguez, "Efficient distributed resampling for particle filters," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, 2011, pp. 3772-3775.
-
Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, 2011
, pp. 3772-3775
-
-
Balasingam, B.1
Bolić, M.2
Djurić, P.M.3
Míguez, J.4
-
41
-
-
11844256399
-
A new class of particle filters for random dynamical systems with unknown statistics
-
Jan.
-
J. Míguez, M. F. Bugallo, and P. M. Djurić, "A new class of particle filters for random dynamical systems with unknown statistics," EURASIP J. Appl. Signal Process., vol. 15, pp. 2278-2294, Jan. 2004.
-
(2004)
EURASIP J. Appl. Signal Process.
, vol.15
, pp. 2278-2294
-
-
Míguez, J.1
Bugallo, M.F.2
Djurić, P.M.3
-
42
-
-
33748124104
-
A non-resampling sequential Monte Carlo detector for coded OFDM systems based on periodic termination of differential phase trellis
-
T. S. John, A. Nallanathan, and M. A. Armand, "A non-resampling sequential Monte Carlo detector for coded OFDM systems based on periodic termination of differential phase trellis," IEEE Trans. Wireless Commun., vol. 5, no. 7, pp. 1846-1856, 2006.
-
(2006)
IEEE Trans. Wireless Commun.
, vol.5
, Issue.7
, pp. 1846-1856
-
-
John, T.S.1
Nallanathan, A.2
Armand, M.A.3
-
43
-
-
0141919628
-
Gaussian particle filtering
-
J. Kotecha, and P. M. Djurić, "Gaussian particle filtering," IEEE Trans. Signal Processing, vol. 51, no. 10, pp. 2592-2601, 2003.
-
(2003)
IEEE Trans. Signal Processing
, vol.51
, Issue.10
, pp. 2592-2601
-
-
Kotecha, J.1
Djurić, P.M.2
-
44
-
-
78651368868
-
Decentralized particle filter with arbitrary state decomposition
-
T. Chen, T. B. Schön, H. Ohlsson, and L. Ljung, "Decentralized particle filter with arbitrary state decomposition," IEEE Trans. Signal Processing, vol. 59, no. 2, pp. 465-478, 2011.
-
(2011)
IEEE Trans. Signal Processing
, vol.59
, Issue.2
, pp. 465-478
-
-
Chen, T.1
Schön, T.B.2
Ohlsson, H.3
Ljung, L.4
-
45
-
-
34547917621
-
Analysis of parallelizable resampling algorithms for particle filtering
-
J. Míguez, "Analysis of parallelizable resampling algorithms for particle filtering," Signal Process., vol. 87, no. 12, pp. 3155-3174, 2007.
-
(2007)
Signal Process.
, vol.87
, Issue.12
, pp. 3155-3174
-
-
Míguez, J.1
-
46
-
-
84950943564
-
Sequential imputations and Bayesian missing data problems
-
A. Kong, J. S. Liu, and W. H. Wong, "Sequential imputations and Bayesian missing data problems," J. Amer. Statist. Assoc., vol. 9, no. 425, pp. 278-288, 1994.
-
(1994)
J. Amer. Statist. Assoc.
, vol.9
, Issue.425
, pp. 278-288
-
-
Kong, A.1
Liu, J.S.2
Wong, W.H.3
-
47
-
-
80052355327
-
State estimation of a shop floor using improved resampling rules for particle filtering
-
N. Celik and Y.-J. Son, "State estimation of a shop floor using improved resampling rules for particle filtering," Int. J. Prod. Econ., vol. 134, no. 1, pp. 224-237, 2011.
-
(2011)
Int. J. Prod. Econ.
, vol.134
, Issue.1
, pp. 224-237
-
-
Celik, N.1
Son, Y.-J.2
-
48
-
-
84861192035
-
Particle filters for joint timing and carrier estimation: Improved resampling guidelines and weighted Bayesian Cramér-Rao bounds
-
May
-
A. A. Nasir, S. Durrani, and R. A. Kennedy, "Particle filters for joint timing and carrier estimation: Improved resampling guidelines and weighted Bayesian Cramér-Rao bounds," IEEE Trans. Commun., vol. 60, no. 5, pp. 1407-1419, May 2012.
-
(2012)
IEEE Trans. Commun.
, vol.60
, Issue.5
, pp. 1407-1419
-
-
Nasir, A.A.1
Durrani, S.2
Kennedy, R.A.3
-
49
-
-
49349102500
-
Limit theorems for weighted samples with applications to sequential Monte Carlo
-
R. Douc and E. Moulines, "Limit theorems for weighted samples with applications to sequential Monte Carlo," Ann. Stat., vol. 36, no. 5, pp. 2344-2376, 2008.
-
(2008)
Ann. Stat.
, vol.36
, Issue.5
, pp. 2344-2376
-
-
Douc, R.1
Moulines, E.2
-
50
-
-
41549102613
-
Computational methods for complex stochastic systems: A review of some alternatives to MCMC
-
P. Fearnhead, "Computational methods for complex stochastic systems: A review of some alternatives to MCMC," Stat. Comput., vol. 18, no. 2, pp. 151-171, 2008.
-
(2008)
Stat. Comput.
, vol.18
, Issue.2
, pp. 151-171
-
-
Fearnhead, P.1
|