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ThinkMind // ICDT 2023, The Eighteenth International Conference on Digital Telecommunications // View article icdt_2023_1_20_10021
On the Performance of a Low-Complexity Data-Reuse RLS Algorithm for Stereophonic Acoustic Echo Cancellation
 Authors:
Ionut-Dorinel Ficiu
Cristian-Lucian Stanciu
Constantin Paleologu
Felix Albu Keywords: Stereophonic Acoustic Echo Cancellation (SAEC); Recursive Least-Squares (RLS) algorithm; Data-Reuse (DR); Dichotomous Coordinate Descent (DCD); Widely Linear (WL) model. Abstract:
The Stereophonic Acoustic Echo Cancellation (SAEC) setup implies the estimation of four loudspeaker-to-microphone unknown impulse responses, which generate unwanted acoustic replicas (i.e., echoes). In this context, some state-of-the-art approaches that combine the Widely Linear (WL) model with various versions of the Recursive Least-Squares (RLS) algorithm have been recently proposed. This paper focuses on the most recent one – the version that uses a Data-Reuse (DR) approach over the WL-RLS based on Dichotomous Coordinate Descent (DCD) iterations, i.e., the namely WL-DR-RLS-DCD. The target of the paper is to present how this algorithm behaves in various conditions, for input signals that present a very high correlation, such as speech or Auto-Regressive (AR) sequences. Simulations results proved that the DR approach is suitable in the SAEC context. Pages: 6 to 9 Copyright: Copyright (c) IARIA, 2023 Publication date: April 24, 2023 Published in: conference ISSN: 2308-3964 ISBN: 978-1-68558-034-6 Location: Venice, Italy Dates: from April 24, 2023 to April 28, 2023
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