5.1.5 Kalman Filtering, General

Kalman Filter Library,
January, 2006.
WWW Link. Code, Kalman Filter.

Welch, G.[Greg], and Bishop, G.[Gary],
An Introduction to the Kalman Filter,
TR95-041, University of North Carolina at Chapel Hill, Department of Computer Science, 1995.
WWW Link. Survey, Kalman Filter. Code, Kalman Filter. Tutorial on Kalman filter. All you want to know. BibRef 9500

Kalman, R.E.,
A New Approach to Linear Filtering and Prediction Problems,
T-ASME(1960), March, 1960, pp. 35-45.
PDF File. Recursive solution to the discrete-data linear filtering. The basis for the Kalman Filter. Awarded the Draper Prize in 2008.
WWW Link. BibRef 6003

Woods, J.W., Radewan, C.H.,
Kalman Filtering in Two Dimensions,
IT(23), July, 1977, pp. 473-482. BibRef 7707

Woods, J.W., Ingle, V.K.,
Kalman Filtering in Two Dimensions: Further Results,
ASSP(29), April, 1981, pp. 188-197. BibRef 8104

Biemond, J., Rieske, J., Gerbrands, J.J.,
A Fast Kalman Filter for Images Degraded by Both Blur and Noise,
ASSP(31), 1983, pp. 1248-1256. BibRef 8300

Chui, C.K.[Charles K.],
Kalman Filtering: With Real-Time Applications,
(Second Edition), New York: Springer-Verlag1991, ISBN 0-387-54013-X. Kalman Filter. Rigorous treatment of Kalman filters. Buy this book: Kalman Filtering: With Real-Time Applications (Lecture Notes in Engineering) BibRef 9100

Tugnait, J.K.,
Constrained Signal Restoration via Iterated Extended Kalman Filtering,
ASSP(33), 1985, pp. 472-475. BibRef 8500

Wu, Z.,
Multidimensional State-Space Model Kalman Filtering with Applications to Image Restoration,
ASSP(33), 1985, pp. 1576-1592. BibRef 8500

Citrin, S., Azimi-Sadjadi, M.R.,
A full-plane block Kalman filter for image restoration,
IP(1), No. 4, October 1992, pp. 488-495.
IEEE DOI 0402
BibRef

Kim, J., Woods, J.W.,
Spatiotemporal Adaptive 3-D Kalman Filter for Video,
IP(6), No. 3, March 1997, pp. 414-424.
IEEE DOI 9703
BibRef

Kim, J., Woods, J.W.,
A New Interpretation of ROMKF,
IP(6), No. 4, April 1997, pp. 599-601.
IEEE DOI 9704
BibRef

de Geeter, J.[Jan], van Brussel, H.[Hendrik], de Schutter, J.[Joris], Decréton, M.[Marc],
A Smoothly Constrained Kalman Filter,
PAMI(19), No. 10, October 1997, pp. 1171-1177.
IEEE DOI 9710
BibRef

Kim, J., Woods, J.W.,
3-D Kalman Filter for Image Motion Estimation,
IP(7), No. 1, January 1998, pp. 42-52.
IEEE DOI 9801
Motion, Estimation. BibRef

Kim, J., Woods, J.W.,
Image identification and restoration in the subband domain,
IP(3), No. 3, May 1994, pp. 312-314.
IEEE DOI 0402
BibRef

Azimi-Sadjadi, M.R., Xiao, R., Yu, X.,
Neural Network Decision Directed Edge-Adaptive Kalman Filter for Image Estimation,
IP(8), No. 4, April 1999, pp. 589-592.
IEEE DOI BibRef 9904

Chang, C.I.[C. I], Brumbley, C.M.,
Kalman Filtering Approach to Multispectral Image Classification and Detection of Changes in Signature Abundance,
GeoRS(37), No. 1, January 1999, pp. 257.
IEEE Top Reference. BibRef 9901

Piovoso, M.[Michael], Laplante, P.A.[Phillip A.],
Kalman filter recipes for real-time image processing,
RealTimeImg(9), No. 6, December 2003, pp. 433-439.
Elsevier DOI 0401
BibRef

Toscano, R., Lyonnet, P.,
Heuristic Kalman Algorithm for Solving Optimization Problems,
SMC-B(39), No. 5, October 2009, pp. 1231-1244.
IEEE DOI 0906
BibRef

Jamoos, A.[Ali], Grivel, E.[Eric], Christov, N.[Nicolai], Najim, M.[Mohamed],
Estimation of autoregressive fading channels based on two cross-coupled Hinf filters,
SIViP(3), No. 3, September 2009, pp. xx-yy.
Springer DOI 0910
H∞ Filtering. Kalman filtering. BibRef

Dini, D.H., Mandic, D.P., Julier, S.J.,
A Widely Linear Complex Unscented Kalman Filter,
SPLetters(18), No. 11, November 2011, pp. 623-626.
IEEE DOI 1112
BibRef

Xu, J., Song, E., Luo, Y., Zhu, Y.,
Optimal Distributed Kalman Filtering Fusion Algorithm Without Invertibility of Estimation Error and Sensor Noise Covariances,
SPLetters(19), No. 1, January 2012, pp. 55-58.
IEEE DOI 1112
BibRef

Faragher, R.,
Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation,
SPMag(29), No. 5, 2012, pp. 128-132.
IEEE DOI 1209
Survey, Kalman Filter. BibRef

Groff, T.D.[Tyler D.], Kasdin, N.J.[N. Jeremy],
Kalman filtering techniques for focal plane electric field estimation,
JOSA-A(30), No. 1, January 2013, pp. 128-139.
DOI Link 1211
BibRef

Wang, S.Y.[Shi-Yuan], Feng, J.C.[Jiu-Chao], Tse, C.K.,
Analysis of the Characteristic of the Kalman Gain for 1-D Chaotic Maps in Cubature Kalman Filter,
SPLetters(20), No. 3, March 2013, pp. 229-232.
IEEE DOI 1303
BibRef

Wang, S.Y.[Shi-Yuan], Feng, J.C.[Jiu-Chao], Tse, C.K.,
Spherical Simplex-Radial Cubature Kalman Filter,
SPLetters(21), No. 1, January 2014, pp. 43-46.
IEEE DOI 1402
Accuracy BibRef

Hauberg, S.[Søren], Lauze, F.[François], Pedersen, K.S.[Kim Steenstrup],
Unscented Kalman Filtering on Riemannian Manifolds,
JMIV(46), No. 1, May 2013, pp. 103-120.
WWW Link. 1303
BibRef

Hauberg, S.[Søren],
Principal Curves on Riemannian Manifolds,
PAMI(38), No. 9, September 2016, pp. 1915-1921.
IEEE DOI 1609
differential geometry BibRef

Derrode, S., Pieczynski, W.,
Exact Fast Computation of Optimal Filter in Gaussian Switching Linear Systems,
SPLetters(20), No. 7, 2013, pp. 701-704.
IEEE DOI 1307
Gaussian processes; hidden Markov models; Kalman filter BibRef

Miyazawa, Y.[Yasumasa], Murakami, H.[Hiroshi], Miyama, T.[Toru], Varlamov, S.M.[Sergey M.], Guo, X.Y.[Xin-Yu], Waseda, T.[Takuji], Sil, S.[Sourav],
Data Assimilation of the High-Resolution Sea Surface Temperature Obtained from the Aqua-Terra Satellites (MODIS-SST) Using an Ensemble Kalman Filter,
RS(5), No. 6, 2013, pp. 3123-3139.
DOI Link 1307
BibRef

Davey, S.J.,
SNR Limits on Kalman Filter Detect-Then-Track,
SPLetters(20), No. 8, 2013, pp. 767-770.
IEEE DOI 1307
Kalman filters BibRef

Steffen, R.[Richard],
A Robust Iterative Kalman Filter Based on Implicit Measurement Equations,
PFG(2013), No. 4, 2013, pp. 323-332.
DOI Link 1309
BibRef

Shu, H.Q.[Hua-Qiang], Simon, E.P., Ros, L.,
Third-Order Kalman Filter: Tuning and Steady-State Performance,
SPLetters(20), No. 11, 2013, pp. 1082-1085.
IEEE DOI 1310
Kalman filters BibRef

Meyer, F., Hlinka, O., Hlawatsch, F.,
Sigma Point Belief Propagation,
SPLetters(21), No. 2, February 2014, pp. 145-149.
IEEE DOI 1402
Kalman filters BibRef

Salmon, B.P., Kleynhans, W., van den Bergh, F., Olivier, J.C., Marais, W.J., Grobler, T.L., Wessels, K.J.,
Meta-Optimization of the Extended Kalman Filter's Parameters Through the Use of the Bias Variance Equilibrium Point Criterion,
GeoRS(52), No. 8, August 2014, pp. 5072-5087.
IEEE DOI 1403
Covariance matrices BibRef

Schneebeli, M., Grazioli, J., Berne, A.,
Improved Estimation of the Specific Differential Phase Shift Using a Compilation of Kalman Filter Ensembles,
GeoRS(52), No. 8, August 2014, pp. 5137-5149.
IEEE DOI 1403
Covariance matrices BibRef

Lopez, R., Malarde, J.P., Royer, F., Gaspar, P.,
Improving Argos Doppler Location Using Multiple-Model Kalman Filtering,
GeoRS(52), No. 8, August 2014, pp. 4744-4755.
IEEE DOI 1403
Doppler effect BibRef

Bhotto, M.Z.A., Bajic, I.V.,
Constant Modulus Blind Adaptive Beamforming Based on Unscented Kalman Filtering,
SPLetters(22), No. 4, April 2015, pp. 474-478.
IEEE DOI 1411
Kalman filters BibRef

Bourmaud, G.[Guillaume], Mégret, R.[Rémi], Arnaudon, M.[Marc], Giremus, A.[Audrey],
Continuous-Discrete Extended Kalman Filter on Matrix Lie Groups Using Concentrated Gaussian Distributions,
JMIV(51), No. 1, January 2015, pp. 209-228.
Springer DOI 1503
BibRef

Bourmaud, G.[Guillaume], Mégret, R.[Rémi], Giremus, A.[Audrey], Berthoumieu, Y.[Yannick],
From Intrinsic Optimization to Iterated Extended Kalman Filtering on Lie Groups,
JMIV(55), No. 3, July 2016, pp. 284-303.
Springer DOI 1604
BibRef

Mandic, D., Kanna, S., Constantinides, A.,
On the Intrinsic Relationship Between the Least Mean Square and Kalman Filters,
SPMag(32), No. 6, November 2015, pp. 117-122.
IEEE DOI 1511
[Lecture Notes] Approximation algorithms BibRef

Li, W., Wei, G., Han, F., Liu, Y.,
Weighted Average Consensus-Based Unscented Kalman Filtering,
Cyber(46), No. 2, February 2016, pp. 558-567.
IEEE DOI 1601
Algorithm design and analysis BibRef

Vilà-Valls, J.[Jordi], Closas, P.[Pau], García-Fernández, Á.F.[Ángel F.],
Uncertainty Exchange Through Multiple Quadrature Kalman Filtering,
SPLetters(23), No. 12, December 2016, pp. 1825-1829.
IEEE DOI 1612
Bayes methods BibRef

Pasand, M.M.S.[Mohammad Mahdi Share], Montazeri, M.[Mohsen],
Kalman Filtering with Optimally Scheduled Measurements in Bandwidth Limited Communication Media,
ETRI(39), No. 1, February 2017, pp. 13-20.
DOI Link 1702
BibRef

Assa, A., Plataniotis, K.N.,
Adaptive Kalman Filtering by Covariance Sampling,
SPLetters(24), No. 9, September 2017, pp. 1288-1292.
IEEE DOI 1708
Gaussian processes, adaptive Kalman filters, covariance analysis, measurement uncertainty, mixture models, sensor fusion, signal sampling, estimation accuracy, measurement noise covariance, normal distribution, sensor fusion, sensor selection, system noise statistics, Adaptive systems, Covariance matrices, Kalman filters, Noise measurement, Q measurement, gaussian mixture model (GMM), inverse wishart (IW) distribution BibRef

Li, X.D.[Xiao-Dong], Liu, A.J.[Ai-Jun], Yu, C.J.[Chang-Jun], Su, F.L.[Fu-Lin],
Widely Linear Quaternion Unscented Kalman Filter for Quaternion-Valued Feedforward Neural Network,
SPLetters(24), No. 9, September 2017, pp. 1418-1422.
IEEE DOI 1708
Covariance matrices, Kalman filters, Mathematical model, Neural networks, Neurons, Quaternions, Signal processing algorithms, HR-calculus, Augmented quaternion statistics, noncircular, quaternion-valued feedforward neural network (QFNN), widely linear quaternion unscented Kalman filter, (WLQUKF) BibRef

Yang, F., Enzner, G., Yang, J.,
Frequency-Domain Adaptive Kalman Filter With Fast Recovery of Abrupt Echo-Path Changes,
SPLetters(24), No. 12, December 2017, pp. 1778-1782.
IEEE DOI 1712
acoustic signal processing, adaptive Kalman filters, echo suppression, frequency-domain analysis, FDKF, tracking BibRef

Locubiche-Serra, S., Seco-Granados, G., López-Salcedo, J.A.,
Closed-Form Approximation for the Steady-State Performance of Second-Order Kalman Filters,
SPLetters(25), No. 2, February 2018, pp. 268-272.
IEEE DOI 1802
Bayes methods, Kalman filters, mean square error methods, Kalman filter performance, closed-form approximation, steady-state performance BibRef

Foley, C., Quinn, A.,
Fully Probabilistic Design for Knowledge Transfer in a Pair of Kalman Filters,
SPLetters(25), No. 4, April 2018, pp. 487-490.
IEEE DOI 1804
Bayes methods, Kalman filters, Bayesian knowledge transfer, distributional knowledge, transfer learning BibRef

Wang, H., Li, H., Fang, J., Wang, H.,
Robust Gaussian Kalman Filter With Outlier Detection,
SPLetters(25), No. 8, August 2018, pp. 1236-1240.
IEEE DOI 1808
Bayes methods, filtering theory, Gaussian processes, iterative methods, Kalman filters, nonlinear filters, state-space modeling BibRef

Hu, Z.T.[Zhen-Tao], Fu, C.L.[Chun-Ling], Zhou, L.[Lin], Guo, Z.[Zhen],
Distributed Kalman filter based on Metropolis-Hastings sampling strategy,
RealTimeIP(14), No. 1, January 2018, pp. 1033-1040.
WWW Link. 1809
BibRef

Xu, Y., Mili, L., Zhao, J.,
A Novel Polynomial-Chaos-Based Kalman Filter,
SPLetters(26), No. 1, January 2019, pp. 9-13.
IEEE DOI 1901
chaos, Kalman filters, nonlinear dynamical systems, polynomials, polynomial chaos theory, collocation points, PCKF, power systems BibRef

Fan, W., Chen, K., Lu, J., Tao, J.,
Effective Improvement of Under-Modeling Frequency-Domain Kalman Filter,
SPLetters(26), No. 2, February 2019, pp. 342-346.
IEEE DOI 1902
audio signal processing, frequency-domain analysis, Kalman filters, guaranteed optimal steady-state behavior, Kalman filter BibRef

Zheng, Z., Zhao, J., Mili, L., Liu, Z., Wang, S.,
Unscented Kalman Filter-Based Unbiased Minimum-Variance Estimation for Nonlinear Systems With Unknown Inputs,
SPLetters(26), No. 8, August 2019, pp. 1162-1166.
IEEE DOI 1908
covariance matrices, Kalman filters, nonlinear filters, nonlinear systems, regression analysis, nonlinear system BibRef

Zheng, Z., Zhao, J., Mili, L., Liu, Z.,
Robust Unscented Unbiased Minimum-Variance Estimator for Nonlinear System Dynamic State Estimation With Unknown Inputs,
SPLetters(27), 2020, pp. 376-380.
IEEE DOI 2004
Unbiased minimum-variance estimation, robust estimation, statistical linearization, nonlinear system, unknown inputs, outliers BibRef

Kulikova, M.V.,
Square-Root Approach for Chandrasekhar-Based Maximum Correntropy Kalman Filtering,
SPLetters(26), No. 12, December 2019, pp. 1803-1807.
IEEE DOI 2001
computational complexity, covariance matrices, difference equations, discrete time filters, filtering theory, square-root implementations BibRef

Jia, G., Huang, Y., Zhang, Y., Chambers, J.,
A Novel Adaptive Kalman Filter With Unknown Probability of Measurement Loss,
SPLetters(26), No. 12, December 2019, pp. 1862-1866.
IEEE DOI 2001
adaptive Kalman filters, Bayes methods, probability, random processes, vectors, VB AKF approach, Bernoulli random variable BibRef

Li, B.[Bo], Chen, W.[Wen], Peng, Y.[Yu], Dong, D.[Danan], Wang, Z.R.[Zhi-Ren], Xiao, T.T.[Ting-Ting], Yu, C.[Chao], Liu, M.[Min],
Robust Kalman Filtering Based on Chi-square Increment and Its Application,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Huang, Y., Jia, G., Chen, B., Zhang, Y.,
A New Robust Kalman Filter With Adaptive Estimate of Time-Varying Measurement Bias,
SPLetters(27), 2020, pp. 700-704.
IEEE DOI 2005
Noise measurement, Covariance matrices, Pollution measurement, Random variables, Probability density function, Kalman filters, linear system BibRef

Locubiche-Serra, S., Seco-Granados, G., López-Salcedo, J.A.,
Asymptotic Analysis of the Convergence Time of Autoregressive Kalman Filters,
SPLetters(27), 2020, pp. 820-824.
IEEE DOI 2006
Kalman filters, Convergence, Kinematics, Mathematical model, Noise measurement, Modeling, State-space methods, steady state BibRef

Gao, X.[Xile], Luo, H.Y.[Hai-Yong], Ning, B.[Bokun], Zhao, F.[Fang], Bao, L.F.[Lin-Feng], Gong, Y.L.[Yi-Lin], Xiao, Y.M.[Yi-Min], Jiang, J.G.[Jin-Guang],
RL-AKF: An Adaptive Kalman Filter Navigation Algorithm Based on Reinforcement Learning for Ground Vehicles,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Lehmann, F., Pieczynski, W.,
Suboptimal Kalman Filtering in Triplet Markov Models Using Model Order Reduction,
SPLetters(27), 2020, pp. 1100-1104.
IEEE DOI 2007
Hidden Markov models, Biological system modeling, Kalman filters, Read only memory, Markov processes, colored process noise BibRef

Bertrand, N.P.[Nicholas P.], Charles, A.S.[Adam S.], Lee, J.[John], Dunn, P.B.[Pavel B.], Rozell, C.J.[Christopher J.],
Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer,
SPLetters(27), 2020, pp. 1120-1124.
IEEE DOI 2007
Heuristic algorithms, Earth, Signal processing algorithms, Kalman filters, Optimization, Tracking, Inference algorithms, earth mover's distance BibRef

Gao, R., Tronarp, F., Särkkä, S.,
Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes,
SPLetters(27), 2020, pp. 1305-1309.
IEEE DOI 2008
Kalman filters, Optimization, Markov processes, State estimation, State-space methods, Minimization, Computational modeling, Kalman filtering and smoothing BibRef

Wang, S., Dekorsy, A.,
A Factor Graph-Based Distributed Consensus Kalman Filter,
SPLetters(27), 2020, pp. 2039-2043.
IEEE DOI 2012
Visualization, Uncertainty, Signal processing algorithms, Kalman filters, State estimation, Dynamical systems, Convergence BibRef

Feng, S., Hu, K., Fan, E., Zhao, L., Wu, C.,
Kalman Filter for Spatial-Temporal Regularized Correlation Filters,
IP(30), 2021, pp. 3263-3278.
IEEE DOI 2103
Target tracking, Tracking, Visualization, Kalman filters, Correlation, Real-time systems, Clutter, Visual tracking, discrete-time Kalman estimator BibRef

Shao, T.[Teng], Duan, Z.[Zhansheng], Tian, Z.[Zhi],
Performance Ranking of Kalman Filter With Pre-Determined Initial State Prior,
SPLetters(28), 2021, pp. 902-906.
IEEE DOI 2106
Kalman filters, Noise measurement, Extraterrestrial measurements, Covariance matrices, Adaptation models, Measurement uncertainty, true mean squared error BibRef

Rahimnejad, A.[Abolfazl], Gadsden, S.A.[S. Andrew], Al-Shabi, M.[Mohammad],
Lattice Kalman Filters,
SPLetters(28), 2021, pp. 1355-1359.
IEEE DOI 2107
Lattices, Kalman filters, Noise measurement, Hypercubes, Mathematical model, Covariance matrices, Licenses, randomly shifted lattice points BibRef

Song, A.H.[Andrew H.], Kim, S.E.[Seong-Eun], Brown, E.N.[Emery N.],
Adaptive State-Space Multitaper Spectral Estimation,
SPLetters(29), 2022, pp. 523-527.
IEEE DOI 2202
Kalman filters, Estimation, Time-frequency analysis, State-space methods, Time series analysis, Spectrogram, Kalman filter BibRef

Zhang, X.[Xing], Xia, Y.[Yili], Li, C.[Chunguo], Yang, L.X.[Lu-Xi],
Unscented Kalman Filter With General Complex-Valued Signals,
SPLetters(29), 2022, pp. 2023-2027.
IEEE DOI 2210
Estimation, Signal processing algorithms, Kalman filters, Technological innovation, Approximation algorithms, noncircular BibRef

Lian, B.[Bosen], Lewis, F.L.[Frank L.], Hewer, G.A.[Gary A.], Estabridis, K.[Katia], Chai, T.Y.[Tian-You],
Robustness Analysis of Distributed Kalman Filter for Estimation in Sensor Networks,
Cyber(52), No. 11, November 2022, pp. 12479-12490.
IEEE DOI 2211
Robustness, Estimation, Kalman filters, Couplings, Transfer functions, Standards, Perturbation methods, sensor networks BibRef

Tao, Y.T.[Yang-Tianze], Yau, S.S.T.[Stephen Shing-Toung],
Outlier-Robust Iterative Extended Kalman Filtering,
SPLetters(30), 2023, pp. 743-747.
IEEE DOI 2307
Filtering, Kalman filters, Cost function, Iterative methods, Filtering algorithms, Estimation, Heavily-tailed distribution, outliers BibRef

Ding, W.J.[Wen-Jie], Yang, W.[Wen], Yang, C.[Chao], Ren, X.Q.[Xiao-Qiang], Wang, X.F.[Xiao-Fan],
A Resilient Distributed Kalman Filtering Under Bidirectional Stealthy Attack,
SPLetters(31), 2024, pp. 356-360.
IEEE DOI 2402
Detectors, Sensors, Sensor systems, Protocols, Kalman filters, Sensitivity, Bidirectional control, Attack detection, false data injection attack BibRef

Luo, Z.D.[Zheng-Ding], Shi, D.Y.[Dong-Yuan], Shen, X.Y.[Xiao-Yi], Ji, J.W.[Jun-Wei], Gan, W.S.[Woon-Seng],
GFANC-Kalman: Generative Fixed-Filter Active Noise Control With CNN-Kalman Filtering,
SPLetters(31), 2024, pp. 276-280.
IEEE DOI 2402
Kalman filters, Band-pass filters, Filtering theory, Filtering algorithms, Information filters, Real-time systems, generative ANC BibRef

Yan, X.X.[Xiao-Xi], Jin, L.[Longhu],
Distributed Kalman Filter Through Trace Proximity and Covariance Intersection,
SPLetters(31), 2024, pp. 1299-1303.
IEEE DOI 2405
Kalman filters, Signal processing algorithms, Filtering algorithms, Covariance matrices, Vectors, covariance intersection BibRef

Wang, K.[Ke], Wu, P.[Panlong], Zhao, B.C.[Bao-Chen], Kong, L.Q.[Ling-Qi], He, S.[Shan],
Reconstructed Variational Bayesian Kalman Filter Under Heavy-Tailed and Skewed Noises,
SPLetters(31), 2024, pp. 2405-2409.
IEEE DOI 2410
Noise, Signal processing algorithms, Noise measurement, Heavily-tailed distribution, Predictive models, student's t distribution BibRef

Ko, M.[Minhyeok], Shafieezadeh, A.[Abdollah],
Cholesky-KalmanNet: Model-Based Deep Learning With Positive Definite Error Covariance Structure,
SPLetters(32), 2025, pp. 326-330.
IEEE DOI 2501
Covariance matrices, Kalman filters, Training, Noise, State estimation, Accuracy, Matrix decomposition, uncertainty quantification BibRef

Locubiche-Serra, S., Seco-Granados, G., López-Salcedo, J.A.,
Closed-Form Approximation for the Convergence Time of pth-Order Kalman Filters,
SPLetters(25), No. 10, October 2018, pp. 1505-1509.
IEEE DOI 1810
Kalman filters, Convergence, Mathematical model, Noise measurement, Bayes methods, Steady-state, Bayesian filtering, steady state BibRef

Nguyen, T., Mann, G.K.I., Vardy, A., Gosine, R.G.,
Developing a Cubature Multi-state Constraint Kalman Filter for Visual-Inertial Navigation System,
CRV17(321-328)
IEEE DOI 1804
Kalman filters, covariance matrices, inertial navigation, Cubature Kalman Filter, Visual Inertial Navigation System BibRef

Clement, L.E.[Lee E.], Peretroukhin, V.[Valentin], Lambert, J.[Jacob], Kelly, J.[Jonathan],
The Battle for Filter Supremacy: A Comparative Study of the Multi-State Constraint Kalman Filter and the Sliding Window Filter,
CRV15(23-30)
IEEE DOI 1507
Cameras BibRef

Ding, X.[Xin], Chen, W.[Wei], Wassell, I.[Ian],
Generalized-KFCS: Motion estimation enhanced Kalman filtered compressive sensing for video,
ICIP14(1297-1301)
IEEE DOI 1502
Compressed sensing BibRef

Petersen, A.[Arne], Koch, R.[Reinhard],
Statistical Analysis of Kalman Filters by Conversion to Gauss-Helmert Models with Applications to Process Noise Estimation,
ICPR10(2386-2389).
IEEE DOI 1008
BibRef

Assimakis, N., Adam, M., Koziri, M., Voliotis, S.,
Optimal Distributed Kalman and Lainiotis Filters: Optimal Uniform Distribution of Measurements into Local Processors,
WSSIP09(1-6).
IEEE DOI 0906
BibRef

Li, Z.[Zheng], Pan, P.J.[Ping-Jun], Gao, D.F.[Dong-Feng], Zhao, D.Y.[Da-Yong],
An Improved Unscented Kalman Filter Based on STF for Nonlinear Systems,
CISP09(1-5).
IEEE DOI 0910
BibRef

Butala, M.D.[Mark D.], Yun, J.H.[Jong-Hyun], Chen, Y.G.[Yu-Guo], Frazin, R.A.[Richard A.], Kamalabadi, F.[Farzad],
Asymptotic convergence of the ensemble Kalman filter,
ICIP08(825-828).
IEEE DOI 0810
BibRef

Tyagi, A.[Ambrish], Davis, J.W.[James W.],
A recursive filter for linear systems on Riemannian manifolds,
CVPR08(1-8).
IEEE DOI 0806
Adapt Kalman filter approach. BibRef

Zhang, X.H.[Xiao-Han], Chen, X.P.[Xiao-Ping], Li, J.L.[Jia-Ling], Li, X.[Xiang],
Vision-based Monte Carlo-Kalman Localization in a Known Dynamic Environment,
ICARCV06(1-7).
IEEE DOI 0612
BibRef

Nagarajan, K., Slatton, K.C.,
Multiple-model MKS with Improved Learning/Prior Modeling,
ICIP05(I: 757-760).
IEEE DOI 0512
Multiscale Kalman Smoother BibRef

Vedaldi, A.[Andrea], Jin, H.L.[Hai-Lin], Favaro, P.[Paolo], Soatto, S.[Stefano],
KALMANSAC: Robust Filtering by Consensus,
ICCV05(I: 633-640).
IEEE DOI 0510
BibRef

Chen, L.[Liang], Mercorelli, P., Liu, S.,
A two-stage Kalman estimator for motion control using model predictive strategy,
ICARCV04(III: 1699-1704).
IEEE DOI 0412
BibRef

Mills, S., Pridmore, T.P., Hills, M.,
Tracking in a Hough Space with the Extended Kalman Filter,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

de Freitas Zampolo, R., Seara, R.[Rui], Tobias, O.J.,
Evolutionary Programming in Image Restoration Via Reduced Order Model Kalman Filtering,
ICIP01(I: 221-224).
IEEE DOI 0108
BibRef

Southall, B., Buxton, B.F., Marchant, J.A.,
Controllability and Observability: Tools for Kalman Filter Design,
BMVC98(xx-yy). BibRef 9800

Ni, J.Q., Ho, K., Tse, K., Ni, J.S., and Shen, M.H.,
Multirate Kalman Filtering Approach for Optimal Two-Dimensional Signal Reconstruction from Noisy Subband Systems,
ICIP97(I: 157-160).
IEEE DOI BibRef 9700

Rao, R.P.N.[Rajesh P.N.],
Robust Kalman Filters for Prediction, Recognition, and Learning,
Univ. of RochesterDepartment of Computer Science Technical Report 645, December, 1996. Kalman Filter. General technique.
PS File. BibRef 9612

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Karhunen-Loeve Transform, General .