Results 31 to 40 of about 102,342 (297)
Kernel Recursive Leastsquares Algorithm with Slidingwindow Approximately Linear Dependence Sparsification [PDF]
Jisuanji gongcheng, 2016 Aiming at varied channel environment during test and training,this paper proposes a new Kernel Recursive Leastsquares(KRLS) algorithm with sliding-window approximately linear dependence sparsification.Kernel matrix size is only relative to the width of ...
CHEN Xujun,ZHU Yufang,HU Junhong,MA Deyu
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Distributed Recursive Least-Squares: Stability and Performance Analysis
, 2011 The recursive least-squares (RLS) algorithm has well-documented merits for reducing complexity and storage requirements, when it comes to online estimation of stationary signals as well as for tracking slowly-varying nonstationary processes.
Giannakis, Georgios B., Mateos, Gonzalo
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Decision-Directed Recursive Least Squares MIMO Channels Tracking
EURASIP Journal on Wireless Communications and Networking, 2006 A new approach for joint data estimation and channel tracking for multiple-input multiple-output (MIMO) channels is proposed based on the decision-directed recursive least squares (DD-RLS) algorithm.
Karami Ebrahim, Shiva Mohsen
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Energies, 2019 This paper deals with the use of least mean squares (LMS, NLMS) and recursive least squares (RLS) algorithms for total harmonic distortion (THD) reduction using shunt active power filter (SAPF) control.
Radek Martinek +4 more
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A New Recursive Least-Squares Method with Multiple Forgetting Schemes
, 2015 We propose a recursive least-squares method with multiple forgetting schemes to track time-varying model parameters which change with different rates. Our approach hinges on the reformulation of the classic recursive least-squares with forgetting scheme ...
Fraccaroli, Francesco +2 more
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Kernel methods for short-term spatio-temporal wind prediction [PDF]
, 2015 Two nonlinear methods for producing short-term spatio-temporal wind speed forecast are presented. From the relatively new class of kernel methods, a kernel least mean squares algorithm and kernel recursive least squares algorithm are introduced and used ...
Dowell, Jethro +2 more
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IEEE Access, 2021 This paper proposes the wave peak frequency tracking methods based on the least squares identification algorithm. The wave disturbance model is transformed into an autoregressive moving average (ARMA) model and a recursive extended least squares (RELS ...
Jianping Yuan +4 more
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On-line nonparametric regression to learn state-dependent disturbances [PDF]
, 2003 A combination of recursive least squares and weighted least squares is made which can adapt its structure such that a relation between in- and output can he approximated, even when the structure of this relation is unknown beforehand.\ud This method can ...
Kruif, Bas J. de, Vries, Theo J.A. de
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Kernel recursive least squares dictionary learning algorithm
Digital Signal Processing, 2023 We propose an efficient online dictionary learning algorithm for kernel-based sparse representations. In this framework, input signals are nonlinearly mapped to a high-dimensional feature space and represented sparsely using a virtual dictionary. At each step, the dictionary is updated recursively using a novel algorithm based on the recursive least ...
Ghasem Alipoor, Karl Skretting
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Recursive least squares estimation with rank two updates
AutomatikaThis paper presents new recursive least squares (RLS) algorithms with enhanced performance, achieved via a combination of exponential forgetting and windowing techniques.
Alexander Stotsky
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