S. Orcioni, A. Carini, S. Cecchi, A. Terenzi, and F. Piazza, “Identification of Nonlinear Audio Devices Exploiting Multiple-Variance Method and Perfect Sequences,” in Proc. AES Convention 144, May 2018, Paper 9932. [Online]. Available: https://aes.org/publications/elibrary-page/?id=19449
Orcioni S, Carini A, Cecchi S, Terenzi A, Piazza F. Identification of Nonlinear Audio Devices Exploiting Multiple-Variance Method and Perfect Sequences. In: AES Convention 144. Audio Engineering Society; 2018. Paper 9932. Available from: https://aes.org/publications/elibrary-page/?id=19449
@inproceedings{Orcioni2018_19449,
author = {Orcioni, Simone and Carini, Alberto and Cecchi, Stefania and Terenzi, Alessandro and Piazza, Francesco},
title = {{Identification of Nonlinear Audio Devices Exploiting Multiple-Variance Method and Perfect Sequences}},
booktitle = {AES Convention 144},
note = {Paper 9932},
year = {2018},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=19449}
}
TY - CPAPER
TI - Identification of Nonlinear Audio Devices Exploiting Multiple-Variance Method and Perfect Sequences
AU - Orcioni, Simone
AU - Carini, Alberto
AU - Cecchi, Stefania
AU - Terenzi, Alessandro
AU - Piazza, Francesco
T2 - AES Convention 144
M1 - Paper 9932
PY - 2018
DA - 2018/05/06
UR - https://aes.org/publications/elibrary-page/?id=19449
PB - Audio Engineering Society
LA - en
AB - 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.
ER -