Results 291 to 300 of about 107,979 (335)

Block recursive least squares dictionary learning algorithm

2016 Chinese Control and Decision Conference (CCDC), 2016
The block recursive least square (BRLS) dictionary learning algorithm that dealing with training data arranged in block is proposed in this paper. BRLS can be used to update overcomplete dictionary for sparse signal representation. Different from traditional recursive least square algorithms, BRLS is designed for data in a block form and the recursion ...
Qianru Jiang, Sheng Li, Zeru Lu, Binbin Sun   +3 more
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Sliding window order-recursive least-squares algorithms

IEEE Transactions on Signal Processing, 1994
Order-recursive least-squares (ORLS) algorithms employing a sliding window (SW) are presented. The authors demonstrate that standard architectures that are well known for growing memory ORLS estimation, e.g., triangular array, lattice, and multichannel lattice, also apply to sliding window ORLS estimation.
K. Zhao, null Fuyun Ling, H. Lev-Ari, J.G. Proakis   +3 more
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A Fast Robust Recursive Least-Squares Algorithm

IEEE Transactions on Signal Processing, 2009
We present a fast robust recursive least-squares (FRRLS) algorithm based on a recently introduced new framework for designing robust adaptive filters. The algorithm is the result of minimizing a cost function subject to a time-dependent constraint on the norm of the filter update.
L.R. Vega, H. Rey, J. Benesty, S. Tressens   +3 more
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Recursive Least-Squares Transversal Algorithms

1990
In Chap. 2, we discussed the recursive laws of the Normal Equations, and in Chap. 4, we saw how these properties can be used to obtain fast processing schemes for solving the Normal Equations in the recursive case based on the Givens reduction. This chapter is devoted to the recursive least-squares (RLS) algorithms based on a transversal predictor ...
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Recursive algorithm for partial least squares regression

Chemometrics and Intelligent Laboratory Systems, 1992
Abstract Helland, K., Berntsen, H.E., Borgen, O.S. and Martens, H., 1992. Recursive algorithm for partial least squares regression. Chemometrics and Intelligent Laboratory Systems , 14: 129–137. In this paper an algorithm is presented for updating partial least squares (PLS) regression models with new calibration objects.
Kristian Helland, Hans E. Berntsen, Odd S. Borgen, Harald Martens   +3 more
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Operator-valued kernel recursive least squares algorithm

2015 23rd European Signal Processing Conference (EUSIPCO), 2015
The paper develops recursive least square algorithms for nonlinear filtering of multivariate or functional data streams. The framework relies on kernel Hilbert spaces of operators. The results generalize to this framework the kernel recursive least squares developed in the scalar case.
P. O. Amblard, H. Kadri
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Robust recursive least squares adaptive beamforming algorithm

IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004., 2005
When adaptive arrays are applied to practical problems, the performance degradation of adaptive beamforming techniques may become even more pronounced than in ideal cases because some of the underlying assumptions on the environment, sources, or sensor array can be violated and this may cause a mismatch between the presumed and actual signal steering ...
null Xin Song, null Jinkuan Wang, null Han Wang   +2 more
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Projected Kernel Recursive Least Squares Algorithm

2017
In this paper, a novel sparse kernel recursive least squares algorithm, namely the Projected Kernel Recursive Least Squares (PKRLS) algorithm, is proposed. In PKRLS, a simple online vector projection (VP) method is used to represent the similarity between the current input and the dictionary in a feature space.
Ji Zhao, Hongbin Zhang
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Recursive algorithm of Generalized Least Squares Estimator

2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), 2010
Based on the problem how to model linear models with different batches of samples and information, the paper raises the method of depositing the stale, the method of bringing into the fresh and the method of depositing the stale and bringing into the fresh of Generalized Least Squares Estimator.
null Wenke Xu, null Fuxiang Liu
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Recursive Least Squares Algorithm for Linear Prediction Problems

SIAM Journal on Matrix Analysis and Applications, 1988
A linear least squares prediction algorithm is presented, based on a factorization into two orthogonal elements linked by the circulang shift operator: \(S=\left[ \begin{matrix} O^ T\\ I\end{matrix} \begin{matrix} 1\\ 0\end{matrix} \right]\). Recursive calculation of the error of the reduced triangular system and optimal order selection are carried out.
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