Identification of Hammerstein model using cubic splines and FIR filtering

Nonlinear models are exploited in the field of digital audio systems for modelling most of real-world devices that show a nonlinear behaviour. Among nonlinear models, Hammerstein systems are realized through a static nonlinearity cascaded with a linear filter. In this paper, the Hammerstein coeffici...

Full description

Saved in:
Bibliographic Details
Published in2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA) pp. 354 - 359
Main Authors Gasparini, Michele, Romoli, Laura, Cecchi, Stefania, Piazza, Francesco
Format Conference Proceeding
LanguageEnglish
Published University of Trieste and University of Zagreb 01.09.2013
Subjects
Adaptation models
Finite impulse response filters
Mathematical model
Nonlinear distortion
Polynomials
Splines (mathematics)
Online AccessGet full text

Cover

More Information
Summary:Nonlinear models are exploited in the field of digital audio systems for modelling most of real-world devices that show a nonlinear behaviour. Among nonlinear models, Hammerstein systems are realized through a static nonlinearity cascaded with a linear filter. In this paper, the Hammerstein coefficients are estimated using an adaptive Catmull-Rom cubic spline for the static nonlinearity and an adaptive FIR filter for the dynamic linear system also introducing a preprocessing for the time delay estimation. Experimental results confirm the effectiveness of the proposed approach, making also comparisons with existing techniques of the state of the art.
ISSN:1845-5921
DOI:10.1109/ISPA.2013.6703766