System identification plays an important role in the field of digital audio systems. While the linear con- volution operation is suitable for linear systems, nonlinear models have to be introduced for modeling the majority of real-world devices. In this paper, a novel approach for the estimation of nonlinear system mod- els is proposed based on the introduction of suitable orthogonal nonlinear functions and frequency-domain adaptive filtering algorithm. Experimental results confirm the effectiveness of the approach, making also comparisons with an analogous approach based on a polynomial structure.

Authors: Romoli, Laura; Gasparini, Michele; Cecchi, Stefania; Primavera, Andrea;Piazza, Francesco
Affiliation: Università Politecnica delle Marche, Ancona, Italy
AES Conference: 48th International Conference: Automotive Audio (September 2012)
Paper Number: 2-1
Publication Date: September 21, 2012 Import into BibTeX
Subject: System Architecture and Hardware - Automotive Loudspeaker Design
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=16419

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