On the stochastic modeling of the LMS algorithm operating with bilinear forms

KJ Bakri, EV Kuhn, R Seara, J Benesty… - Digital Signal …, 2022 - Elsevier
This paper presents a stochastic model of the least-mean-square for bilinear forms (LMS-BF)
algorithm in which the bilinear term is defined with respect to the temporal and spatial …

An iterative Wiener filter for the identification of multilinear forms

LM Dogariu, S Ciochină, C Paleologu… - 2020 43rd …, 2020 - ieeexplore.ieee.org
There are many important fields nowadays which involve multilinear system identification. In
this context, the number of parameters of the global impulse response to be identified can …

A tensorial affine projection algorithm

LM Dogariu, C Elisei-Iliescu… - … on Signals, Circuits …, 2021 - ieeexplore.ieee.org
The affine projection algorithm (APA) represents a popular choice in system identification
scenarios, especially with correlated input signals. In this paper, we address the multilinear …

[PDF][PDF] Some Contributions to Machine Learning-based System Identification and Speech Enhancement for Nonlinear Acoustic Echo Control

MM Halimeh - researchgate.net
Given the widespread use of miniaturized audio interfaces, echo control systems are faced
with increasing challenges to address a large variety of acoustic conditions observed by …

[PDF][PDF] Análise em Regime Permanente do Algoritmo LMS para Formas Bilineares

KJ Bakri, EV Kuhn, R Seara - sbrt.org.br
Este artigo visa estender o modelo estocástico já desenvolvido para o algoritmo LMS-BF
(least-mean-square for bilinear forms), considerando agora o comportamento em regime …

[PDF][PDF] Adaptive Algorithms for Multilinear in Parameters Structures

LM IANCU - 2019 - comm.pub.ro
Introduction imation, to identify this kind of spatiotemporal systems. Then, in the fifth chapter,
we focus on a slightly different case of supposedly linear systems that present small …