Results 11 to 20 of about 102,342 (297)

UPDATING STRATEGIES FOR DISTANCE BASED CLASSIFICATION MODEL WITH RECURSIVE LEAST SQUARES [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
The idea is to create a self-learning Minimal Learning Machine (MLM) model that is computationally efficient, easy to implement and performs with high accuracy. The study has two hypotheses.
A.-M. Raita-Hakola, I. Pölönen
doaj   +1 more source

Recursive N-way partial least squares for brain-computer interface. [PDF]

open access: yesPLoS ONE, 2013
In the article tensor-input/tensor-output blockwise Recursive N-way Partial Least Squares (RNPLS) regression is considered. It combines the multi-way tensors decomposition with a consecutive calculation scheme and allows blockwise treatment of tensor ...
Andrey Eliseyev, Tetiana Aksenova
doaj   +1 more source

Adaptive State Feedback Control Method Based on Recursive Least Squares

open access: yesElektronika ir Elektrotechnika, 2022
This study revealed an adaptive state feedback control method based on recursive least squares (RLS) that is introduced for a time-varying system to work with high efficiency. Firstly, a system identification block was created that gives the mathematical
Mehmet Latif Levent, Omer Aydogdu
doaj   +1 more source

A Recursive Least-Squares with a Time-Varying Regularization Parameter

open access: yesApplied Sciences, 2022
Recursive least-squares (RLS) algorithms are widely used in many applications, such as real-time signal processing, control and communications. In some applications, regularization of the least-squares provides robustness and enhances performance ...
Maaz Mahadi   +3 more
doaj   +1 more source

Online Identification of Lithium-ion Battery Model Parameters with Initial Value Uncertainty and Measurement Noise

open access: yesChinese Journal of Mechanical Engineering, 2023
Online parameter identification is essential for the accuracy of the battery equivalent circuit model (ECM). The traditional recursive least squares (RLS) method is easily biased with the noise disturbances from sensors, which degrades the modeling ...
Xinghao Du   +6 more
doaj   +1 more source

Adaptive Recursive Least Squares Denoising in Ventricular Fibrillation ECG Signals

open access: yesAdvanced Sensor Research, 2023
Cardiac arrest is a fatal and urgent disease in humans. A high‐quality electrocardiogram (ECG) has a positive guide to the success of defibrillation and resuscitation.
Youde Ding   +6 more
doaj   +1 more source

Low-Complexity Recursive Least-Squares Adaptive Algorithm Based on Tensorial Forms

open access: yesApplied Sciences, 2021
Modern solutions for system identification problems employ multilinear forms, which are based on multiple-order tensor decomposition (of rank one). Recently, such a solution was introduced based on the recursive least-squares (RLS) algorithm.
Ionuț-Dorinel Fîciu   +3 more
doaj   +1 more source

Data-Driven Adaptive Steady-State-Integral-Derivative Controller Using Recursive Least Squares With Performance Conditions

open access: yesIEEE Access, 2023
This paper presents a data-driven adaptive steady state-integral-derivative (SS-ID) control algorithm that uses gradient descent and recursive least squares (RLS) with a forgetting factor.
Jeongwoo Lee, Kwangseok Oh
doaj   +1 more source

Recursive Least Squares with Linear Constraints [PDF]

open access: yesCommunications in Information and Systems, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhu, Yunmin, Li, X. Rong
openaire   +3 more sources

Block row recursive least-squares migration [PDF]

open access: yesGEOPHYSICS, 2015
Recursive estimates of large systems of equations in the context of least-squares fitting is a common practice in different fields of study. For example, recursive adaptive filtering is extensively used in signal processing and control applications.
Kazemi, Nasser, Sacchi, Mauricio
openaire   +2 more sources

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