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 ...

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 ...

Abstract: The increased digitalization of the modern world has led to more frequent signal interferences, highlighting the need to separate the signal of interest from interfering signals. This is ...

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 ...

Each year, students in the Saint Louis University School of Science and Engineering participate in research and design capstone experiences. At the SSE Undergraduate Showcase, students present posters ...