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- W3127977128 abstract "Kalman filtering is a linear quadratic estimation (LQE) algorithm that uses a time series of observed data to produce estimations of unknown variables. The Kalman filter (KF) concept is widely used in applied mathematics and signal processing. In this study, we developed a methodology for estimating Gaussian errors by minimizing the symmetric loss function. Relevant applications of the kinetic models are described at the end of the manuscript." @default.
- W3127977128 created "2021-02-15" @default.
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- W3127977128 date "2021-01-31" @default.
- W3127977128 modified "2023-10-18" @default.
- W3127977128 title "An Application of the Kalman Filter Recursive Algorithm to Estimate the Gaussian Errors by Minimizing the Symmetric Loss Function" @default.
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- W3127977128 doi "https://doi.org/10.3390/sym13020240" @default.
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