ABSTRACT: This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and ...
Department of Electrical Engineering, Higher Institute of Science and Technology, Nalut, Libya. This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive ...
As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...
A novel neural network adaptive filter algorithm is proposed to address the challenge of weak spectral signals and low accuracy in micro-spectrometer detection. This ...
Two-Stage Motion Artifact Reduction Algorithm for rPPG Signals Obtained from Facial Video Recordings
Recent years have witnessed the publication of many research articles regarding the contactless measurement and monitoring of heart rate signals deduced from facial video recordings. The techniques ...
Abstract: The power flow from a grid-connected photovoltaic (PV) system is highly variable and creates complexities in the power scheduling for the utility. In this article, a grid-connected PV–fuel ...
Abstract: This article describes the Volterra expansions filter with least mean square (LMS) and least mean fourth (LMF) control algorithm on unified power quality controller (UPQC). The adaptive ...
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