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Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation.

, and . NIPS, page 793-799. MIT Press, (1996)

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Learning algorithms for adaptive processing and control., , , , and . ICNN, page 1-8. IEEE, (1993)Neural network classification: a Bayesian interpretation.. IEEE Trans. Neural Networks, 1 (4): 303-305 (1990)Perceptual wavelet adaptive denoising of speech., and . INTERSPEECH, page 577-580. ISCA, (2003)Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother., , , and . EURASIP J. Adv. Signal Process., (2010)Gaussian mixture sigma-point particle filters for sequential probabilistic inference in dynamic state-space models., and . ICASSP (6), page 701-704. IEEE, (2003)Measuring in-home walking speed using wall-mounted RF transceiver arrays., , , , , , and . EMBC, page 914-917. IEEE, (2014)RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers., and . J. Sel. Topics Signal Processing, 3 (5): 860-873 (2009)Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity., and . Neural Comput., 6 (2): 296-306 (1994)Time Series Prediction by Using a Connectionist Network with Internal Delay Lines. Predicting the Future and Understanding the Past, Addison-Wesley, Reading, MA, (1993)The Unscented Particle Filter., , , and . NIPS, page 584-590. MIT Press, (2000)