Results 261 to 270 of about 95,139 (292)

Gradient-based variable forgetting factor RLS algorithm in time-varying environments

IEEE Transactions on Signal Processing, 2005
In this paper, a new control mechanism for the variable forgetting factor (VFF) of the recursive least square (RLS) adaptive algorithm is presented. The control algorithm is basically a gradient-based method of which the gradient is derived from an improved mean square error analysis of RLS.
null Shu-Hung Leung, C.F. So
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A Robust Variable Forgetting Factor QS-decomposition Algorithm for Subspace Tracking

2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
This paper proposed a robust variable forgetting factor (VFF) QS-decomposition algorithm for subspace tracking in impulse noise environment. The QS-decomposition algorithm was originally proposed to estimate recursively the principal orthonormal subspace of covariance matrix of a vector time series.
J. Q. Lin, S. C. Chan
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Time-varying spectral estimation using AR models with variable forgetting factors

IEEE Transactions on Signal Processing, 1991
A method of estimating time-varying spectra of nonstationary signals using recursive least squares (RLS) with variable forgetting factors (VFFs) is described. The VFF is adapted to a nonstationary signal by an extended prediction error criterion which accounts for the nonstationarity of the signal.
Y.S. Cho, S.B. Kim, E.J. Powers
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Tracking improvements in fast RLS algorithms using a variable forgetting factor

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
The concept of a variable forgetting factor (VFF) is incorporated into fast recursive least squares (FRLS) algorithms. Compromises in the data matrix that are needed to do this are examined. Both prewindowed and growing memory covariance algorithms are presented in transversal and lattice structures.
Toplis, Blake, Pasupathy, Subbarayan
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A novel adaptive variable forgetting factor RLS algorithm

2022 International Conference on Informatics, Networking and Computing (ICINC), 2022
Kai Li, Jun Xiao, JinFang Xie, RuiQi Wu
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Variable Forgetting Factor Based Least Square Algorithm for Intelligent Radar

2017
With the wide use of electromagnetic spectrum, the electromagnetic environment becomes more and more complicated. Complex electromagnetic environment will pose a severe challenge to radar system. Modern intelligent radar should provide feedback from receiver to transmitter, and transmit waveform according to working environment.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Variable forgetting factors in parameter estimation

Automatica, 1983
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Subspace Predictive Controlle Method With Updating Variable Forgetting Factor

Proceedings of the 2013 2nd International Conference on Intelligent System and Applied Material, 2013
JinFeng Huang, HeXin Zhang, JinSuo Fan, YuBin Wu   +3 more
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Implementation of self-tuning regulators with variable forgetting factors

Automatica, 1981
T.R. Fortescue, L.S. Kershenbaum, B.E. Ydstie   +2 more
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