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Convention Paper

Identification of Nonlinear Audio Devices Exploiting Multiple-Variance Method and Perfect Sequences

Authors: Orcioni, Simone; Carini, Alberto; Cecchi, Stefania; Terenzi, Alessandro; Piazza, Francesco

AES Convention 144 · Paper 9932 · May 2018

Abstract

Multiple-variance identification methods are based on the use of input signals with different powers for nonlinear system identification. They overcome the problem of the locality of the solution of traditional identification methods that well approximates the system only for inputs with approximately the same power of the identification signal. In this context, it is possible to further improve the nonlinear filter estimation exploiting as input signals the perfect periodic sequences that guarantee the orthogonality of the Wiener basis functions used for identification. Experimental results involving real measurements show that the proposed approach can accurately model nonlinear devices on a wide range of input variances. This property is particularly useful when modeling systems with high dynamic inputs, like audio amplifiers.

Details

Published in
AES Convention 144
AES Convention
144
Paper number
9932
Publication date
May 6, 2018
Session subject
Posters: Applications
Affiliation
Universita Politecnica delle Marche, Ancona, Italy; University of Urbino Carlo Bo, Urbino, Italy (See document for exact affiliation information.)
Type
Convention Paper