Search Results - "Recursive least-squares algorithm"

Quantized Kernel Recursive Least Squares Algorithm by Chen, Badong, Zhao, Songlin, Zhu, Pingping, Principe, Jose C.

“… By incorporating a simple online vector quantization method, we derive a recursive algorithm to update the solution, namely the quantized kernel recursive least squares algorithm…”
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Extended Kernel Recursive Least Squares Algorithm by Weifeng Liu, Il Park, Yiwen Wang, Principe, J.C.

“…This paper presents a kernelized version of the extended recursive least squares (EX-KRLS) algorithm which implements for the first time a general linear state…”
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The kernel recursive least-squares algorithm by Engel, Y., Mannor, S., Meir, R.

“…We present a nonlinear version of the recursive least squares (RLS) algorithm. Our algorithm performs linear regression in a high-dimensional feature space…”
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Quaternion kernel recursive least-squares algorithm by Wang, Gang, Qiao, Jingci, Xue, Rui, Peng, Bei

“…Various kernel-based algorithms have been successfully applied to nonlinear problems in adaptive filters over the last two decades. In this paper, we study a…”
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Data-reuse recursive least-squares algorithm with Riemannian manifold constraint by Zhao, Haiquan, Wang, Haolin, Peng, Yi

“…Actual signals often contain nonlinear manifold structures, but traditional filtering algorithms assume data are embedded in Euclidean space, which makes them…”
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A Nonparametric Variable Forgetting Factor Recursive Least-Squares Algorithm by Paleologu, Constantin, Benesty, Jacob, Otopeleanu, Radu-Andrei, Ciochin, Silviu

“…The forgetting factor is the main control parameter of the recursive least-squares (RLS) algorithm, which is set to balance between the estimate accuracy and…”
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A Proportionate Recursive Least Squares Algorithm and Its Performance Analysis by Qin, Zhen, Tao, Jun, Xia, Yili

“…The proportionate updating (PU) mechanism has been widely adopted in least mean squares (LMS) adaptive filtering algorithms to exploit the system sparsity. In…”
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Deep kernel recursive least-squares algorithm by Mohamadipanah, Hossein, Heydari, Mahdi, Chowdhary, Girish

“…We present a new kernel-based algorithm for modeling evenly distributed multidimensional datasets that does not rely on input space sparsification. The…”
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Differentiating acute fatigue and overreaching during intensified training using a recursive least squares algorithm combined with the variable dose–response model by Busso, Thierry, Chalencon, Sébastien

“… Methods A time-varying model using a recursive least squares algorithm was applied to data from eight swimmers collected over 61…”
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Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering by Wang, Yanjiao, Ding, Feng

“…This paper considers the parameter estimation problems of Hammerstein–Wiener systems by using the data filtering technique. In order to improve the estimation…”
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Auxiliary model‐based recursive least squares algorithm for two‐input single‐output Hammerstein output‐error moving average systems by using the hierarchical identification principle by Liu, Jian, Ji, Yan

“… The auxiliary model‐based forgetting factor recursive least squares algorithm and the auxiliary model…”
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A coupled recursive least squares algorithm for multivariable systems and its computational amount analysis by using the coupling identification concept by Jin, Yu, Ding, Feng

“… for identification algorithms, two recursive least squares algorithms are derived according to the characteristics of the multivariable systems…”
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Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm by Han, Min, Zhang, Shuhui, Xu, Meiling, Qiu, Tie, Wang, Ning

“…Kernel recursive least squares (KRLS) is a kind of kernel methods, which has attracted wide attention in the research of time series online prediction. It has…”
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Distributed Adaptive Thresholding Graph Recursive Least Squares Algorithm by Maleki, Nafiseh, Azghani, Masoumeh, Sadeghi, Nasser

“…In this paper, we present a novel approach for the reconstruction of sparse graph signals using a distributed adaptive thresholding recursive least squares algorithm…”
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Kernel Recursive Least Squares Algorithm Based on the Nystr }}}}m Method With k-Means Sampling by Zhang, Tao, Wang, Shiyuan, Huang, Xuewei, Jia, Lei

“…The kernel recursive least squares (KRLS) algorithm is used to improve the convergence rate and filtering accuracy of kernel adaptive filters (KAFs) in the…”
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Recursive least-squares algorithm based on a third-order tensor decomposition for low-rank system identification by Paleologu, Constantin, Benesty, Jacob, Stanciu, Cristian-Lucian, Jensen, Jesper Rindom, Christensen, Mads Græsbøll, Ciochină, Silviu

“…A recently developed third-order tensor (TOT) decomposition-based method has proved to be working very well in linear system identification problems that…”
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Recursive Least Squares-Algorithm-Based Normalized Adaptive Minimum Symbol Error Rate Equalizer by Zhang, Minhao, Wang, Yifan, Tu, Xingbin, Qu, Fengzhong, Zhao, Hangfang

“…The adaptive minimum symbol error rate (AMSER) equalizer is known to have better symbol error rate (SER) performance than the adaptive minimum mean square…”
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New adaptive robust H∞ control of smart structures using synchrosqueezed wavelet transform and recursive least-squares algorithm by Li, Zhijun, Adeli, Hojjat

“…Two kinds of uncertainties, one due to the dynamic earthquake loads with a wide frequency band and the other due to structural parameters exist in large and…”
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A Robust Proportionate Graph Recursive Least Squares Algorithm for Adaptive Graph Signal Recovery by Naeimi Sadigh, Alireza, Zayyani, Hadi, Korki, Mehdi

“…In this brief, we propose a robust proportionate Recursive Least Square (RLS) algorithm to address the problem of adaptive graph signal recovery in the…”
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A Dual-Recursive-Least-Squares Algorithm for Automotive Radar Interference Suppression by Wang, Ping, Yin, Xuefeng, Rodriguez-Pineiro, Jose, Chen, Zhuoyu, Zhu, Pengqi, Li, Gang

“…Automotive radar sensors are widely used in vehicles so as to allow the "advanced driver assistance systems (ADAS)" to work. As far as we are concerned, no…”
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