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Dealing with Significant Noise Levels in Vibration‐based Bridge Health Monitoring? A novel ARMA+Noise algorithm in the Frisch Scheme Context

ce/papers, 2023-09, Vol.6 (5), p.337-342

2023

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Overview of Identification Methods of Autoregressive Model in Presence of Additive Noise

Mathematics (Basel), 2023-01, Vol.11 (3), p.607

2023

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Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting

SIAM journal on matrix analysis and applications, 2012-01, Vol.33 (4), p.1395-1416

2012

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The Frisch scheme in multivariable errors-in-variables identification

European journal of control, 2017-09, Vol.37, p.43-53

2017

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Estimating second-order Volterra system parameters from noisy measurements based on an LMS variant or an errors-in-variables method

Signal processing, 2012-04, Vol.92 (4), p.1010-1020

2012

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Identification of ARX and ARARX Models in the Presence of Input and Output Noises

European journal of control, 2010, Vol.16 (3), p.242-255

2010

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Relations between Bias-Eliminating Least Squares, the Frisch scheme and Extended Compensated Least Squares methods for identifying errors-in-variables systems

Automatica (Oxford), 2009, Vol.45 (1), p.277-282

2009

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Algorithms for recursive/semi-recursive bias-compensating least squares system identification within the errors-in-variables framework

International journal of control, 2012-11, Vol.85 (11), p.1625-1643

2012

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On the identifiability of errors-in-variables models with white measurement errors

Automatica (Oxford), 2011-03, Vol.47 (3), p.545-551

2011

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Frisch scheme identification for dynamic diagonal bilinear models

International journal of control, 2009-09, Vol.82 (9), p.1591-1604

2009

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Extending the Frisch scheme for errors-in-variables identification to correlated output noise

International journal of adaptive control and signal processing, 2008-02, Vol.22 (1), p.55-73

Soderstrom, Torsten

2008

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Identification of dynamic errors-in-variables models: Approaches based on two-dimensional ARMA modeling of the data

Automatica (Oxford), 2003-05, Vol.39 (5), p.929-935

2003

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Identification of static errors-in-variables models: the rank reducibility problem

Automatica (Oxford), 2001-07, Vol.37 (7), p.1079-1084

2001

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Identification of the maximal number of linear relations from noisy data

Systems & control letters, 1995-02, Vol.24 (3), p.159-165

Guidorzi, Roberto P.

1995

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An upper bound on the number of linear relations identified from noisy data by the Frisch scheme

Systems & control letters, 1995-02, Vol.24 (3), p.153-158

Woodgate, Keith G.

1995

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Identification of linear relations from noisy data: Geometrical aspects

Systems & control letters, 1992-05, Vol.18 (5), p.339-346

1992

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Some issues in uncertainty quantification and parameter tuning: a case study of convective parameterization scheme in the WRF regional climate model

Atmospheric chemistry and physics, 2012-03, Vol.12 (5), p.2409-2427

2012

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Dealing with Significant Noise Levels in Vibration‐based Bridge Health Monitoring? A novel ARMA+Noise algorithm in the Frisch Scheme Context

Overview of Identification Methods of Autoregressive Model in Presence of Additive Noise

Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting

The Frisch scheme in multivariable errors-in-variables identification

Estimating second-order Volterra system parameters from noisy measurements based on an LMS variant or an errors-in-variables method

Identification of ARX and ARARX Models in the Presence of Input and Output Noises

Relations between Bias-Eliminating Least Squares, the Frisch scheme and Extended Compensated Least Squares methods for identifying errors-in-variables systems

Algorithms for recursive/semi-recursive bias-compensating least squares system identification within the errors-in-variables framework

On the identifiability of errors-in-variables models with white measurement errors

Frisch scheme identification for dynamic diagonal bilinear models

Extending the Frisch scheme for errors-in-variables identification to correlated output noise

Identification of dynamic errors-in-variables models: Approaches based on two-dimensional ARMA modeling of the data

Identification of static errors-in-variables models: the rank reducibility problem

Identification of the maximal number of linear relations from noisy data

An upper bound on the number of linear relations identified from noisy data by the Frisch scheme

Identification of linear relations from noisy data: Geometrical aspects

Some issues in uncertainty quantification and parameter tuning: a case study of convective parameterization scheme in the WRF regional climate model

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