Minimum variance unbiased FIR filter for discrete time-variant systems
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[1] Li Danyang,et al. Optimal state estimation without the requirement of a priori statistics information of the initial state , 1994 .
[2] Yuriy S. Shmaliy,et al. Suboptimal FIR Filtering of Nonlinear Models in Additive White Gaussian Noise , 2012, IEEE Transactions on Signal Processing.
[3] V. Algazi,et al. Design of almost minimax FIR filters in one and two dimensions by WLS techniques , 1986 .
[4] Wook Hyun Kwon,et al. A receding horizon unbiased FIR filter for discrete-time state space models , 2002, Autom..
[5] Wook Hyun Kwon,et al. Optimal FIR filters for time-varying state-space models , 1990 .
[6] Xin Wang. NFIR nonlinear filter , 1991, IEEE Trans. Signal Process..
[7] Gibson,et al. A steady-state optimal control problem , 1976 .
[8] Uri Shaked,et al. Robust minimum variance filtering , 1995, IEEE Trans. Signal Process..
[9] A. Jazwinski. Limited memory optimal filtering , 1968 .
[10] Yuriy S. Shmaliy,et al. Optimal Memory for Discrete-Time FIR Filters in State-Space , 2014, IEEE Trans. Signal Process..
[11] Ji-Woong Choi,et al. An FIR Channel Estimation Filter with Robustness to Channel Mismatch Condition , 2008, IEEE Transactions on Broadcasting.
[12] Arthur Gelb,et al. Applied Optimal Estimation , 1974 .
[13] Wook Hyun Kwon,et al. Minimum Variance FIR Smoothers for Discrete-Time State Space Models , 2007, IEEE Signal Processing Letters.
[14] W. Kwon,et al. Equivalence of finite memory filters , 1994 .
[15] Yuriy S. Shmaliy,et al. An Iterative Kalman-Like Algorithm Ignoring Noise and Initial Conditions , 2011, IEEE Transactions on Signal Processing.
[16] M.N.S. Swamy,et al. An analytical approach for obtaining a closed-form solution to the least-square design problem of 2-D zero-phase FIR filters , 1994 .
[17] C. Desoer,et al. Linear System Theory , 1963 .
[18] Keck Voon Ling,et al. Receding horizon recursive state estimation , 1999, IEEE Trans. Autom. Control..
[19] Jenq-Tay Yuan,et al. Order-recursive FIR smoothers , 1994, IEEE Trans. Signal Process..
[20] Wook Hyun Kwon,et al. FIR filters and recursive forms for discrete-time state-space models , 1987, Autom..
[21] Yuriy S. Shmaliy,et al. Optimal Gains of FIR Estimators for a Class of Discrete-Time State-Space Models , 2008, IEEE Signal Processing Letters.
[22] W. Kwon,et al. Receding Horizon Control: Model Predictive Control for State Models , 2005 .
[23] A. Jazwinski. Stochastic Processes and Filtering Theory , 1970 .
[24] Soo-Chang Pei,et al. Fast design of 2-D linear-phase complex FIR digital filters by analytical least squares method , 1996, IEEE Trans. Signal Process..
[25] Wook Hyun Kwon,et al. A receding horizon Kalman FIR filter for discrete time-invariant systems , 1999, IEEE Trans. Autom. Control..
[26] Yuriy S. Shmaliy,et al. Time‐variant linear optimal finite impulse response estimator for discrete state‐space models , 2012 .
[27] Dan Simon,et al. Unified forms for Kalman and finite impulse response filtering and smoothing , 2013, Autom..
[28] Yuriy S. Shmaliy,et al. Unbiased FIR Filtering of Discrete-Time Polynomial State-Space Models , 2009, IEEE Transactions on Signal Processing.
[29] Yuriy S. Shmaliy,et al. Linear Optimal FIR Estimation of Discrete Time-Invariant State-Space Models , 2010, IEEE Transactions on Signal Processing.