Abstract: A particle swarm optimization-least mean squares (PSO-LMS) algorithm is presented for adapting various classes of filter structures. The LMS algorithm is widely accepted as the preeminent ...
Abstract: In this paper, we propose the constrained stability least mean square (CS-LMS) algorithm for multichannel active noise control (ANC). It is shown that the centralized version is able to have ...
This paper presents a comprehensive evaluation using a Z-test to assess the 1 effectiveness of an adaptive Least Mean Squares (LMS) filter driven by the Steepest Descent 2 Method (SDM). The study ...
We introduce an efficient iterative algorithm, intended for various least squares problems, based on a design of experiments perspective. The algorithm, called orthogonalizing EM (OEM), works for ...
ABSTRACT: Advanced processing of lung sound (LS) recording is a significant means to separate heart sounds (HS) and combined low frequency noise from instruments (NI), with saving its characteristics.
Iterative algorithms of Gauss-Newton type for the solution of nonlinear least squares problems are considered. They separate the variables into two sets in such a way that in each iteration, ...
Scientists in Spain have implemented recursive least squares (RLS) algorithms for anomaly detection in PV systems and have found they can provide “more realistic and meaningful assessment” than ...
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