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ThinkMind // SIGNAL 2021, The Sixth International Conference on Advances in Signal, Image and Video Processing // View article signal_2021_1_30_60014


Identification of Multilinear Forms Using Combinations of Adaptive Algorithms

Authors:
Ionut-Dorinel Ficiu
Laura-Maria Dogariu
Cristian-Lucian Stanciu
Constantin Paleologu

Keywords: adaptive filter; multilinear forms; least-mean-square (LMS) algorithm; recursive least-squares (RLS) algorithm; tensor decomposition

Abstract:
The tensor-based adaptive algorithms represent useful tools for the identification of linearly separable systems. These algorithms are designed in the framework of multilinear forms and exploit the decomposition of rank-1 tensors. In this paper, we outline the idea of using different adaptive algorithms (with different performance features) for the individual filters, which represent the components of a rank-1 tensor. In this context, the global scheme based on such combinations could inherit some of the advantages provided by each category of algorithms, e.g., fast convergence rate and low computational complexity

Pages: 11 to 12

Copyright: Copyright (c) IARIA, 2021

Publication date: May 30, 2021

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-61208-858-7

Location: Valencia, Spain

Dates: from May 30, 2021 to June 3, 2021

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