Different nonlinear models are exploited to model real-world devices. Among them, an effective technique is based on the combination of orthogonal nonlinear functions and frequency-domain adaptive filtering algorithms for nonlinear system identification. In this paper first the independence of the model from the orthogonal basis is demonstrated by complementing previously obtained results. Then, a highly efficient model implementation is presented by taking advantage of fixed pole parallel filters for the linear filtering part. The efficiency comes both from using common-pole modeling and from applying a warped filter design that takes into account the frequency resolution of human hearing. Experimental results prove the effectiveness of the proposed approach showing its suitability in real-time digital simulation of nonlinear audio devices.

Authors: Romoli, Laura; Cecchi, Stefania; Bank, Balázs; Gasparini, Michele; Piazza, Francesco
Affiliations: Budapest University of Technology and Economics, Budapest, Hungary; Universitá Politecnica della Marche, Ancona (AN), Italy(See document for exact affiliation information.)
AES Convention: 136 (April 2014) Paper Number: 9068
Publication Date: April 25, 2014 Import into BibTeX
Subject: Audio Signal Processing/Transducers/Recording/Network Audio
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=17215

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