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
Subject:
Audio Signal Processing/Transducers/Recording/Network Audio
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.