EEG ocular artifact removal through ARMAX model system identification using extended least squares

Communications in Information and Systems ◽

10.4310/cis.2003.v3.n1.a2 ◽

2003 ◽

Vol 3 (1) ◽

pp. 19-40 ◽

Author(s):

Shane M. Haas ◽

Mark G. Frei ◽

Ivan Osorio ◽

Bozenna Pasik-Duncan ◽

Jeff Radel

Keyword(s):

System Identification ◽

Least Squares ◽

Model System ◽

Artifact Removal ◽

Ocular Artifact ◽

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Improving Capabilities of the Adaptive Recursive Least-Squares Filter in the Ocular Artifact Removal from EEG Signal

Indian Journal of Science and Technology ◽

10.17485/ijst/2016/v9i13/85908 ◽

2016 ◽

Vol 9 (13) ◽

Author(s):

Samaneh Valipour ◽

M. Ziaratban ◽

A. D. Shaligram

Keyword(s):

Least Squares ◽

Recursive Least Squares ◽

Artifact Removal ◽

Ocular Artifact ◽

Recursive Least Squares Filter

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Nonlinear Least Squares Techniques for System Identification in Water Quality

Journal of Environmental Systems ◽

10.2190/jchn-0krk-4jqn-edmw ◽

1974 ◽

Vol 4 (1) ◽

pp. 23-37

Author(s):

J.-G. Beliveau ◽

G. Mattingly

Keyword(s):

Water Quality ◽

System Identification ◽

Least Squares ◽

Nonlinear Least Squares ◽

Least Squares Techniques

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ARMA system identification via the Cholesky least squares method

IEEE Transactions on Automatic Control ◽

10.1109/tac.1978.1101804 ◽

1978 ◽

Vol 23 (4) ◽

pp. 698-702 ◽

Author(s):

T. Brotherton ◽

P. Caines

Keyword(s):

System Identification ◽

Least Squares ◽

Least Squares Method

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A total least squares approach to frequency domain system identification

10.1109/mwscas.1989.101953 ◽

2003 ◽

Author(s):

G. Berchin ◽

M.A. Soderstrand

Keyword(s):

System Identification ◽

Least Squares ◽

Frequency Domain ◽

Total Least Squares ◽

Least Squares Approach

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$$\ell _1$$ ℓ 1 -regularized recursive total least squares based sparse system identification for the error-in-variables

SpringerPlus ◽

10.1186/s40064-016-3120-6 ◽

2016 ◽

Vol 5 (1) ◽

Author(s):

Jun-seok Lim ◽

Hee-Suk Pang

Keyword(s):

System Identification ◽

Least Squares ◽

Total Least Squares ◽

Error In Variables ◽

Sparse System ◽

Sparse System Identification

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Dynamic multivariate B-spline neural network design using orthogonal least squares algorithm for non-linear system identification

2014 18th International Conference on System Theory, Control and Computing (ICSTCC) ◽

10.1109/icstcc.2014.6982503 ◽

2014 ◽

Author(s):

Letitia Mirea

Keyword(s):

Neural Network ◽

System Identification ◽

Linear System ◽

Network Design ◽

Least Squares ◽

B Spline ◽

Orthogonal Least Squares ◽

Linear System Identification ◽

Non Linear System

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A least squares interpretation of sub-space methods for system identification

Proceedings of 35th IEEE Conference on Decision and Control ◽

10.1109/cdc.1996.574330 ◽

2002 ◽

Author(s):

L. Ljung ◽

T. McKelvey

Keyword(s):

System Identification ◽

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System Identification of Wood Drying Process Based on ARMAX Model

Agricultural Sciences ◽

10.4236/as.2019.103020 ◽

2019 ◽

Vol 10 (03) ◽

pp. 241-248

Author(s):

Zheng Zhou ◽

Pinxiu Zhang ◽

Baofu Huai ◽

Liping Huang

Keyword(s):

System Identification ◽

Drying Process ◽

Wood Drying ◽

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Recursive System Identification and Adaptive Control by Use of the Modified Least Squares Algorithm

SIAM Journal on Control and Optimization ◽

10.1137/0322048 ◽

1984 ◽

Vol 22 (5) ◽

pp. 758-776 ◽

Author(s):

H. F. Chen

Keyword(s):

Adaptive Control ◽

System Identification ◽

Least Squares ◽

Recursive System ◽

Least Squares Algorithm

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Paving the Way for Future EEG Studies in Construction: Dependent Component Analysis for Automatic Ocular Artifact Removal from Brainwave Signals

Journal of Construction Engineering and Management ◽

10.1061/(asce)co.1943-7862.0002097 ◽

2021 ◽

Vol 147 (8) ◽

pp. 04021087

Author(s):

Yizhi Liu ◽

Mahmoud Habibnezhad ◽

Shayan Shayesteh ◽

Houtan Jebelli ◽

SangHyun Lee

Keyword(s):

Component Analysis ◽

Artifact Removal ◽

Dependent Component ◽

Ocular Artifact ◽

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