This document describes the process and findings of testing the MAML algorithm for enhancing the convergence of the FxLMS algorithm in noise cancellation applications, specifically targeting aircraft ...
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 ...
Kernel adaptive filters are online machine learning algorithms based on kernel methods. Typical applications include time-series prediction, nonlinear adaptive filtering, tracking and online learning ...
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 ...
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 ...
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 ...
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 ...
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