Results 21 to 30 of about 794 (150)
RSS Based Wi-Fi Positioning Method Using Recursive Least Square (RLS) Algorithm
International 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
Coupled Least Squares Identification Algorithms for Multivariate Output-Error Systems
Algorithms, 2017 This paper focuses on the recursive identification problems for a multivariate output-error system. By decomposing the system into several subsystems and by forming a coupled relationship between the parameter estimation vectors of the subsystems, two ...
Wu Huang, Feng Ding
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IEEE Access, 2020 Monitoring the state of health (SOH) for Li-ion batteries is crucial in the battery management system (BMS), for their efficient and safe use. Due to time-varying battery parameters and insufficient computation capability of the BMSs, computationally ...
Minho Kim, Kwangrae Kim, Soohee Han
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Adaptive Filtering for the Maternal Respiration Signal Attenuation in the Uterine Electromyogram
Sensors, 2022 The electrohysterogram (EHG) is the uterine muscle electromyogram recorded at the abdominal surface of pregnant or non-pregnant woman. The maternal respiration electromyographic signal (MR-EMG) is one of the most relevant interferences present in an EHG.
Daniela Martins +7 more
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IEEE Access, 2020 In this paper, we propose a channel sparsity aware sequential recursive least squares (sparse SEQ-RLS) algorithm for function expansion filters with applications in nonlinear echo cancellation.
Jean Jiang +2 more
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IEEE 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
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IEEE AccessWe develop a recursive least squares (RLS) type algorithm with a minimax concave penalty (MCP) for adaptive identification of a sparse tap-weight vector that represents a communication channel.
Bowen Li +4 more
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Forward and backward RLS-DDCE processing in MIMO-OFDM spatial multiplexing receivers [PDF]
Advances in Radio Science, 2010 In this paper we present a novel approach in frequency domain channel estimation technique. Our proposal is based on the recursive least squares (RLS) algorithm combined with the decision making process called decision directed channel estimation (RLS ...
M. Muxfeldt, P. Beinschob, U. Zölzer
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The role of identification in data‐driven policy iteration: A system theoretic study
International Journal of Robust and Nonlinear Control, EarlyView.Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley +1 more source
IET Power Electronics, 2021 This paper presents a novel filtering algorithm for the resolver position signal based on recursive least squares (RLS) and phase‐locked loop (PLL). The proposed RLS‐PLL‐based algorithm designs a harmonic iterative estimation and elimination mechanism ...
Chuanqiang Lian +3 more
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