Adaptive Identification of Nonlinear Models Using Orthogonal Nonlinear Functions

Romoli L, Gasparini M, Cecchi S, Primavera A, Piazza F. Adaptive Identification of Nonlinear Models Using Orthogonal Nonlinear Functions. In: AES Conference: 48th International Conference: Automotive Audio. Audio Engineering Society; 2012. Paper 2-1. Available from: https://aes.org/publications/elibrary-page/?id=16419

@inproceedings{Romoli2012_16419,
  author = {Romoli, Laura and Gasparini, Michele and Cecchi, Stefania and Primavera, Andrea and Piazza, Francesco},
  title = {{Adaptive Identification of Nonlinear Models Using Orthogonal Nonlinear Functions}},
  booktitle = {AES Conference: 48th International Conference: Automotive Audio},
  note = {Paper 2-1},
  year = {2012},
  month = sep,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16419}
}

TY  - CPAPER
TI  - Adaptive Identification of Nonlinear Models Using Orthogonal Nonlinear Functions
AU  - Romoli, Laura
AU  - Gasparini, Michele
AU  - Cecchi, Stefania
AU  - Primavera, Andrea
AU  - Piazza, Francesco
T2  - AES Conference: 48th International Conference: Automotive Audio
M1  - Paper 2-1
PY  - 2012
DA  - 2012/09/06
UR  - https://aes.org/publications/elibrary-page/?id=16419
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -