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Research article

First published 2010-1

Adaptive Estimation of Noise Covariance Matrices in Unscented Kalman Filter for Multiclass Traffic Flow Model

Dong Ngoduy, Agachai Sumalee

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2026-1

Impact analysis of nonlinear Kalman Filter parameters on state of charge estimation for electric vehicle batteries

A Maheshwari, S Nageswari, S Balamurugan [...]

Energy Exploration & Exploitation

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Research article

First published 2002-3

Detection of Outliers in Signal Processing when the Noise Covariance Matrix is Arbitrary

Madhusudan Bhandary

Calcutta Statistical Association Bulletin

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Research article

First published 2000-7

Derivative Preprocessing and Optimal Corrections for Baseline Drift in Multivariate Calibration

Christopher D. Brown, Lorenzo Vega-Montoto, Peter D. Wentzell

Applied Spectroscopy

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Research article

First published 2002-3

A new PCA-based method for data compression and enhancement of multi-frequency polarimetric SAR imagery

Salim Chitroub, Amrane Houacine, Boualem Sansal

Intelligent Data Analysis: An International Journal

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Research article

First published 1997-8

Statistical properties of pipelined-block linear time-varying discrete-time systems in state space

Kazys Kazlauskas

Informatica: An International Journal of Computing and Informatics

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Research article

First published 2022-9

Full adaptive Kalman filters for nonlinear fractional-order systems containing unknown parameters and fractional-orders

Xiaomin Huang, Zhe Gao

Transactions of the Institute of Measurement and Control

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Research article

First published 2026-2

Maximum correntropy smoothers based on information theoretic learning in non-Gaussian environments

Haiping Ma, Ting Liu, Yajing Zhang [...]

Transactions of the Institute of Measurement and Control

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Research article

First published 1993-2

Off-line estimation of dynamic systems parameters in the presence of outliers in autoregressive noise

Rimantas Pupeikis

Informatica: An International Journal of Computing and Informatics

Open access

Research article

First published 2021-12

A Bayesian optimized framework for successful application of unscented Kalman filter in parameter identification of MDOF structures

Mohamadreza Sheibani, Ge Ou

Journal of Low Frequency Noise,Vibration and Active Control

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