Fast least squares FIR system identification

Normalized lattice algorithms for least-squares FIR system identification

IEEE Transactions on Acoustics Speech and Signal Processing ◽

10.1109/tassp.1983.1164012 ◽

1983 ◽

Vol 31 (1) ◽

pp. 122-128 ◽

Cited By ~ 29

Author(s):

B. Porat ◽

T. Kailath

Keyword(s):

System Identification ◽

Least Squares ◽

Lattice Algorithms ◽

Fir System

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Performance of a Fast Algorithm for FIR System Identification Using Least-Squares Analysis

Bell System Technical Journal ◽

10.1002/j.1538-7305.1983.tb04413.x ◽

1983 ◽

Vol 62 (3) ◽

pp. 717-742 ◽

Cited By ~ 5

Author(s):

S. L. Marple ◽

L R. Rabiner

Keyword(s):

System Identification ◽

Least Squares ◽

Fast Algorithm ◽

Fir System

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Efficient least squares FIR system identification

IEEE Transactions on Acoustics Speech and Signal Processing ◽

10.1109/tassp.1981.1163507 ◽

1981 ◽

Vol 29 (1) ◽

pp. 62-73 ◽

Cited By ~ 59

Author(s):

S. Marple

Keyword(s):

System Identification ◽

Least Squares ◽

Fir System

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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 ◽

Cited By ~ 3

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 ◽

Cited By ~ 3

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) ◽

Cited By ~ 3

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 ◽

Cited By ~ 4

Author(s):

Letitia Mirea

Keyword(s):

Neural Network ◽

System Identification ◽

Linear System ◽

Network Design ◽

Least Squares ◽

B Spline ◽

Orthogonal Least Squares ◽

Non Linear ◽

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 ◽

Cited By ~ 5

Author(s):

L. Ljung ◽

T. McKelvey

Keyword(s):

System Identification ◽

Least Squares

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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 ◽

Cited By ~ 59

Author(s):

H. F. Chen

Keyword(s):

Adaptive Control ◽

System Identification ◽

Least Squares ◽

Recursive System ◽

Least Squares Algorithm

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