Articles with "nonlinear filtering" as a keyword



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Forward modeling and inverse estimation for nonlinear filtering

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Published in 2023 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.6714

Abstract: The highly accurate state estimation of nonlinear systems is needed in many different application fields. In many existing nonlinear filters, the uncompensated nonlinear approximation error and widely used numerical sampling methods both seriously affect the… read more here.

Keywords: inverse estimation; estimation nonlinear; nonlinear filtering; modeling inverse ... See more keywords
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The Hitchhiker’s guide to nonlinear filtering

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Published in 2020 at "Journal of Mathematical Psychology"

DOI: 10.1016/j.jmp.2019.102307

Abstract: Nonlinear filtering is the problem of online estimation of a dynamic hidden variable from incoming data and has vast applications in different fields, ranging from engineering, machine learning, economic science and natural sciences. We start… read more here.

Keywords: time; guide nonlinear; hitchhiker guide; machine learning ... See more keywords
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Pulsed Waveforms and Intermittently Nonlinear Filtering in Synthesis of Low-SNR and Covert Communications

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3024978

Abstract: In traditional spread-spectrum techniques, a wideband transmit signal is obtained by modulating a wideband carrier by a narrowband signal containing a relatively low-rate message. In the receiver, the respective demodulation/despreading restores the information-carrying narrowband signal.… read more here.

Keywords: snr covert; low snr; low rate; nonlinear filtering ... See more keywords
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Nonlinear Filtering Method Using a Switching Error Model for Outlier-Contaminated Observations

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Published in 2020 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2019.2947649

Abstract: This article considers a nonlinear filtering method for handling outliers. The presence of outliers that are gross observation errors can greatly reduce the accuracy of filtering methods that assume Gaussian distributed errors. There are some… read more here.

Keywords: filtering method; method; nonlinear filtering; covariance ... See more keywords
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Duality for Nonlinear Filtering I: Observability

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Published in 2022 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2023.3279206

Abstract: This paper is concerned with the development and use of duality theory for a hidden Markov model (HMM) with white noise observations. The main contribution of this work is to introduce a backward stochastic differential… read more here.

Keywords: duality; duality nonlinear; control; observability ... See more keywords
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Nonlinear Filtering for Estimating Flow Speed around a Vibrating Rigid Circular Cylinder

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Published in 2019 at "International Journal of Offshore and Polar Engineering"

DOI: 10.17736/ijope.2019.jc756

Abstract: This study proposes a method to estimate flow speeds around a submerged vibrating body by measuring the dynamic variables of the body and performing a filtering computation. The proposed method is based on the mechanics… read more here.

Keywords: nonlinear filtering; filtering estimating; cylinder nonlinear; circular cylinder ... See more keywords
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Comparison of Nonlinear Filtering Techniques for Inertial Sensors Error Identification in INS/GPS Integration

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Published in 2017 at "Scientia Iranica"

DOI: 10.24200/sci.2017.4328

Abstract: Nonlinear filtering techniques are used to fuse the global positioning system (GPS) and the inertial navigation system (INS) together to provide a robust and reliable navigation system with a performance superior to that of either… read more here.

Keywords: nonlinear filtering; navigation system; ins gps; filtering techniques ... See more keywords
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Information Geometric Approach to Recursive Update in Nonlinear Filtering

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Published in 2017 at "Entropy"

DOI: 10.3390/e19020054

Abstract: The measurement update stage in the nonlinear filtering is considered in the viewpoint of information geometry, and the filtered state is considered as an optimization estimation in parameter space has been corresponded with the iteration… read more here.

Keywords: nonlinear filtering; information; kalman filter; proposed method ... See more keywords