Results 21 to 30 of about 20,755 (208)

Efficient enhanced Recursive Least Square algorithm adaptive filtering scheme for artifacts removal in ECG signals

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023
This paper proposes an improved Recursive Least Square (RLS) algorithm to address the limitations of the conventional RLS algorithm, which suffers from poor performance when dealing with non-stationary noise.
Harith H. Thannoon, Ivan A. Hashim
doaj   +1 more source

RSS Based Wi-Fi Positioning Method Using Recursive Least Square (RLS) Algorithm

open access: yesInternational Journal of Engineering & Technology, 2018
Due to rapid increase in demand for services which depends upon exact location of devices leads to the development of numerous Wi-Fi positioning systems. It is very difficult to find the accurate position of a device in indoor environment due to substantial development of structures.
Sreevardhan Cheerla, D Venkata Ratnam
openaire   +2 more sources

Removal of ECG Artifacts From EEG Using an Effective Recursive Least Square Notch Filter

open access: yesIEEE Access, 2019
Electroencephalogram (EEG) is a common tool for medical diagnosis, cognitive research, and managing neurological disorders. However, EEG is usually contaminated with various artifacts, making it difficult to interpret EEG data. In this study, a recursive
Chenxi Dai   +5 more
semanticscholar   +1 more source

Performance Improvement of Neural Network Based RLS Channel Estimators in MIMO-OFDM Systems

open access: yesAl-Khawarizmi Engineering Journal, 2011
The objective of this study was tointroduce a recursive least squares (RLS) parameter estimatorenhanced by using a neural network (NN) to facilitate the computing of a bit error rate (BER) (error reduction) during channels estimation of a multiple input ...
Alaa Abdulameer Hassan
doaj   +4 more sources

An Improved Hybrid Beamforming Algorithm for Fast Target Tracking in Satellite and V2X Communication

open access: yesRemote Sensing, 2023
Autonomous remote sensing systems establish communication links between nodes. Ensuring coverage and seamless communication in highly dense environments is not a trivial task as localization, separation, and tracking of targets, as well as interference ...
Aral Ertug Zorkun   +2 more
doaj   +1 more source

Computation of the largest positive Lyapunov exponent using rounding mode and recursive least square algorithm

open access: yesChaos, Solitons & Fractals, 2018
It has been shown that natural interval extensions (NIE) can be used to calculate the largest positive Lyapunov exponent (LLE). However, the elaboration of NIE are not always possible for some dynamical systems, such as those modelled by simple equations
M. L. Peixoto   +3 more
semanticscholar   +1 more source

Comparison between RLS-GA and RLS-PSO for Li-ion battery SOC and SOH estimation: a simulation study

open access: yesJournal of Mechatronics, Electrical Power, and Vehicular Technology, 2017
This paper proposes a new method of concurrent SOC and SOH estimation using a combination of recursive least square (RLS) algorithm and particle swarm optimization (PSO).
Latif Rozaqi   +2 more
doaj   +1 more source

Research on filtering of electromagnetic measurement while drilling signal in underground coal mine

open access: yesGong-kuang zidonghua, 2019
In view of problems of slow convergence speed and long computation time existed in electromagnetic wireless measurement while drilling (EM-MWD) signals extracted by adaptive filtering least mean square algorithm and recursive least squares algorithm, a ...
KANG Houqing
doaj   +1 more source

Novel identification algorithms for Hammerstein systems in ill-conditioned situations

open access: yesSystems Science & Control Engineering, 2021
Two algorithms named Recursive Least Square algorithm for Ill-Conditioned situations (RLS-IC) and Multi Innovation Stochastic Gradient algorithm for Ill-Conditioned situations (MISG-IC) are proposed based on multi-innovation identification theory, least ...
A. Nejati, B. Safarinejadian
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 40, Issue 3, Page 544-564, March 2026.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

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