A Recursive Least-Squares Algorithm for the Identification of Trilinear Forms

A Recursive Least-Squares Algorithm for the Identification of Trilinear Forms

High-dimensional system identification problems can be efficiently addressed based on tensor decompositions and modelling. In this paper, we design a recursive least-squares (RLS) algorithm tailored for the identification of trilinear forms, namely RLS-TF. In our framework, the trilinear form is rel...

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Bibliographic Details
Main Authors: Camelia Elisei-Iliescu, Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Andrei-Alexandru Enescu, Silviu Ciochină
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Algorithms
Subjects:
adaptive filters
recursive least-squares (RLS) algorithm
system identification
tensor decomposition
trilinear forms
Online Access:https://www.mdpi.com/1999-4893/13/6/135

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