Search Results - New information recursive least squares algorithm

Multi-dimensional neural network grey model with delay for intelligent ship trajectory forecasting by Xinping, Xiao, Fangxue, Zhang, Mingyun, Gao

“…•Integrates deep learning with grey models for intelligent ship trajectory forecasting.•The Novel model addresses the interactions and time-delay…”
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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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Recursive Least Squares Dictionary Learning Algorithm by Skretting, K., Engan, K.

“…We present the recursive least squares dictionary learning algorithm, RLS-DLA, which can be used for learning overcomplete dictionaries for sparse signal representation…”
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A new information-weighted recursive algorithm for time-varying systems: application to UAV system identification by Liu, Zun, Ji, Honghai, Pei, Hailong, Lewis, Frank L.

“…This paper presents a new recursive identification method which can efficiently estimate time-varying parameters in discrete time systems and has significant advantages over standard recursive least-squares (RLS) method…”
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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…”
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Robust Distributed Diffusion Recursive Least Squares Algorithms With Side Information for Adaptive Networks by Yu, Yi, Zhao, Haiquan, de Lamare, Rodrigo C., Zakharov, Yuriy, Lu, Lu

“…This work develops robust diffusion recursive least-squares algorithms to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise…”
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Distributed Sparse Recursive Least-Squares Over Networks by Liu, Zhaoting, Liu, Ying, Li, Chunguang

“… In this paper, we address the problem of in-network distributed estimation for sparse vectors, and develop several distributed sparse recursive least-squares (RLS) algorithms…”
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Data-Reuse Recursive Least-Squares Algorithms by Paleologu, Constantin, Benesty, Jacob, Ciochina, Silviu

“…There are different strategies to improve the overall performance of the recursive least-squares (RLS) adaptive filter…”
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A Recursive Restricted Total Least-Squares Algorithm by Rhode, Stephan, Usevich, Konstantin, Markovsky, Ivan, Gauterin, Frank

“… The algorithm is cheap to compute and is suitable for online implementation. Simulation results in least squares (LS…”
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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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Diffusion recursive least-squares for distributed estimation over adaptive networks by Cattivelli, F.S., Lopes, C.G., Sayed, A.H.

“… We propose a diffusion recursive least-squares algorithm where nodes need to communicate only with their closest neighbors…”
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Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering by Wang, Yanjiao, Ding, Feng

“… In order to improve the estimation accuracy, the data filtering-based recursive generalized extended least squares algorithm is derived…”
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EM-based poor slot update method for MIMO IDD receiver in fast time-varying channels by Kim, Minsung, Cho, Jehoon, Oh, Taewon

“… The poor slots that trigger error propagation in a frame are selected, the channel state information is updated, and the updated recursive least squares channel tracking algorithm is executed…”
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Distributed Recursive Least-Squares: Stability and Performance Analysis by Mateos, G., Giannakis, G. B.

“…The recursive least-squares (RLS) algorithm has well-documented merits for reducing complexity and storage requirements, when it comes to online estimation…”
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PETRELS: Parallel Subspace Estimation and Tracking by Recursive Least Squares From Partial Observations by Yuejie Chi, Eldar, Yonina C., Calderbank, Robert

“…Many real world datasets exhibit an embedding of low-dimensional structure in a high-dimensional manifold. Examples include images, videos and internet traffic…”
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Adaptive Distributed Estimation Based on Recursive Least-Squares and Partial Diffusion by Arablouei, Reza, Dogancay, Kutluyil, Werner, Stefan, Huang, Yih-Fang

“… We propose an extension to the diffusion recursive least-squares algorithm by allowing partial sharing of the entries of the intermediate estimate vectors among the neighbors…”
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Composite learning control for strict feedback systems with neural network based on selective memory by Hu, Zhiyu, Fei, Yiming, Li, Jiangang, Li, Yanan

“… The article uses a selective memory recursive least squares algorithm to construct system information prediction errors, which are combined with tracking errors to update the neural network weights…”
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A new recursive least squares-based learning algorithm for spiking neurons by Zhang, Yun, Qu, Hong, Luo, Xiaoling, Chen, Yi, Wang, Yuchen, Zhang, Malu, Li, Zefang

“… In this paper, we propose a Recursive Least Squares-Based Learning Rule (RLSBLR) for SNN to generate the desired spatio-temporal spike train…”
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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…”
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Hierarchical recursive least squares parameter estimation methods for multiple‐input multiple‐output systems by using the auxiliary models by Xing, Haoming, Ding, Feng, Pan, Feng, Yang, Erfu

“… By means of the auxiliary model identification idea, an auxiliary model‐based recursive least squares (AM‐RLS…”
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