Results 51 to 60 of about 20,755 (208)

Comparison of the RLS and LMS Algorithms to Remove Power Line Interference Noise from ECG Signal

Al-Khawarizmi Engineering Journal, 2010
Biomedical signal such as ECG is extremely important in the diagnosis of patients and is commonly recorded with a noise. Many different kinds of noise exist in biomedical environment such as Power Line Interference Noise (PLIN).
Noor K. Muhsin
doaj   +2 more sources

Potential Output Pessimism and Austerity in the European Union

Journal of Money, Credit and Banking, Volume 57, Issue 7, Page 1871-1905, October 2025.
Abstract The paper develops a business cycle model with policymakers' learning about potential output to analyze the European recession following the Global Financial Crisis. The initial recession led to overpessimism about potential output and cyclically adjusted budget balance (CAB), triggering fiscal austerity. The austerity caused further recession,
PEI KUANG, KAUSHIK MITRA
wiley   +1 more source

Real‐Time Parameter Identification and State of Charge Estimation of Electric Vehicle Batteries

Engineering Reports, Volume 7, Issue 8, August 2025.
The variable forgetting factor recursive least square algorithm is suggested as a way to ascertain the battery model parameters, which can change depending on the operating conditions. Two different battery models are used to investigate the role of the proposed method.
A. Maheshwari, S. Nageswari, R. Palanisamy, B. Karthikeyan, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Ali M. El‐Rifaie, Ezzeddine Touti, Ahmed I. Omar   +8 more
wiley   +1 more source

Dynamic Model and Inverse Kinematic Identification of a 3-DOF Manipulator Using RLSPSO

Sensors, 2020
This paper presents the identification of the inverse kinematics of a cylindrical manipulator using identification techniques of Least Squares (LS), Recursive Least Square (RLS), and a dynamic parameter identification algorithm based on Particle Swarm ...
Josias Batista, Darielson Souza, Laurinda dos Reis, Antônio Barbosa, Rui Araújo   +4 more
doaj   +1 more source

Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control

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.
R. Martínek, Jaroslav Rzidky, René Jaros, P. Bilik, M. Ladrova   +4 more
semanticscholar   +1 more source

Enhancing Energy Storage Efficiency: Advances in Battery Management Systems in Electric Vehicles

Energy Technology, Volume 13, Issue 8, August 2025.
The rapid adoption of electric vehicles (EVs) underscores the urgent need for advanced battery management systems (BMS) to ensure safety, efficiency, and reliability. This article delves into the core functionalities of BMS, including state estimation, thermal management, and cell balancing, which are pivotal for optimizing battery performance ...
Hamid Naseem, Abdul Hadi, Min‐Jae Kang, Jul‐Ki Seok   +3 more
wiley   +1 more source

Adaptive thermal error prediction for CNC machine tool spindle using online measurement and an improved recursive least square algorithm

Case Studies in Thermal Engineering
Establishing models for predicting and compensating for spindle thermal errors is cost-effective and necessary to improve the accuracy of machine tools for smart manufacturing.
Xinyuan Wei, Honghan Ye, Gao Wang, Weidong Hu   +3 more
doaj   +1 more source

On Modelling and Comparative Study of LMS and RLS Algorithms for Synthesis of MSA

Modelling and Simulation in Engineering, 2016
This paper deals with analytical modelling of microstrip patch antenna (MSA) by means of artificial neural network (ANN) using least mean square (LMS) and recursive least square (RLS) algorithms. Our contribution in this work is twofold.
Ahmad Kamal Hassan, Adnan Affandi
doaj   +1 more source

A Hybrid Parameters Estimation Approach for Power Consumption Modeling of Ground Mobile Robots With Unknown Payload

Journal of Field Robotics, Volume 42, Issue 5, Page 1840-1860, August 2025.
ABSTRACT Typically, batteries are the main power source for mobile robots, and the practical constraints in carrying them pose challenges in achieving efficiency, autonomy, and safety objectives in robotic missions. Moreover, dealing with battery degradation requires a precise understanding of energy consumers' behavior in the system.
Parham Haji Ali Mohamadi, Amin Khorasani, Tom Verstraten, Bram Vanderborght   +3 more
wiley   +1 more source

Multi-Tap Channel Estimation for Preamble-Based FBMC/OQAM Systems

IEEE Access, 2020
The intrinsic imaginary inter-carrier/inter-symbol interference in filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) systems makes accurate channel estimation remain an open issue, which motivates our work in this article ...
Defeng Ren, Jing Li, Guohua Zhang, Guangyue Lu, Jianhua Ge   +4 more
doaj   +1 more source