Unscented Rauch--Tung--Striebel Smoother
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Victor C. M. Leung | S. Sarkka | L. Huang | V. Krishnamurthy | C. Chen | Y. Xiao | D. Lee | Y. Wang | F. Yu | J. M. Hyman | A. A. Lazar | D. H. K. Tsang | J.-S. Park | C.-C. J. Kuo | Y. Wang | D. Tsang
[1] N E Manos,et al. Stochastic Models , 1960, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..
[2] N. Rashevsky,et al. Mathematical biology , 1961, Connecticut medicine.
[3] R. E. Kalman,et al. New Results in Linear Filtering and Prediction Theory , 1961 .
[4] Y. Ho,et al. A Bayesian approach to problems in stochastic estimation and control , 1964 .
[5] D. Fraser,et al. The optimum linear smoother as a combination of two optimum linear filters , 1969 .
[6] A. Jazwinski. Stochastic Processes and Filtering Theory , 1970 .
[7] Abderrahmane Haddad,et al. Estimation theory with applications to communications and control , 1972 .
[8] William L. Brogan. Applied Optimal Estimation (Arthur Gels, ed.) , 1977 .
[9] F. Lewis. Optimal Estimation: With an Introduction to Stochastic Control Theory , 1986 .
[10] Robert F. Stengel,et al. Optimal Control and Estimation , 1994 .
[11] H.F. Durrant-Whyte,et al. A new approach for filtering nonlinear systems , 1995, Proceedings of 1995 American Control Conference - ACC'95.
[12] G. Kitagawa. Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models , 1996 .
[13] S. Julier,et al. A General Method for Approximating Nonlinear Transformations of Probability Distributions , 1996 .
[14] John Weston,et al. Strapdown Inertial Navigation Technology , 1997 .
[15] Peter J. W. Rayner,et al. Digital Audio Restoration: A Statistical Model Based Approach , 1998 .
[16] Hugh F. Durrant-Whyte,et al. A new method for the nonlinear transformation of means and covariances in filters and estimators , 2000, IEEE Trans. Autom. Control..
[17] Thia Kirubarajan,et al. Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .
[18] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[19] Rudolph van der Merwe,et al. The Unscented Kalman Filter , 2002 .
[20] Jeffrey K. Uhlmann,et al. Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.
[21] Branko Ristic,et al. Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .
[22] E. Somersalo,et al. Statistical and computational inverse problems , 2004 .
[23] Nando de Freitas,et al. Fast particle smoothing: if I had a million particles , 2006, ICML.
[24] S. Särkkä,et al. On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems , 2007, IEEE Transactions on Automatic Control.
[25] M. Melamed. Detection , 2021, SETI: Astronomy as a Contact Sport.