Exact Linearization of Wiener and Hammerstein Systems Loudspeaker Linearization

Author

Lashkari, Khosrow ; Puranik, Akshaya

Author_Institution

Media Lab., DoCoMo USA Labs., Inc., San Jose, CA

fYear

0

fDate

0-0 0

Firstpage

917

Lastpage

920

Abstract

This paper presents a linearization technique based on the exact inverse of a Wiener or a Hammerstein system, a class of nonlinear systems, which can be represented by the interconnection of a linear dynamic subsystem and a memoryless nonlinear subsystem. The exact inverse consists of a linear inverse and a root solver. Previous techniques, based on adapting both the linear and the non-linear parts are not suitable for realtime implementation due to high computational cost and slow convergence rate. The proposed algorithm is robust and easy to compute and its performance is verified by computer simulations

Keywords

Wiener filters; convergence; linear systems; linearisation techniques; memoryless systems; nonlinear dynamical systems; nonlinear filters; real-time systems; Hammerstein system; Wiener system; convergence rate; linear dynamic subsystem; linearization technique; memoryless nonlinear subsystem; realtime implementation; Adaptive algorithm; Feedback; Inverse problems; Laboratories; Linearization techniques; Loudspeakers; Nonlinear distortion; Nonlinear dynamical systems; Nonlinear systems; USA Councils; Hammerstein; Wiener; loudspeakers; nonlinear;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2005 Fifth International Conference on

Conference_Location

Bangkok

Print_ISBN

0-7803-9283-3

Type

conf

DOI

10.1109/ICICS.2005.1689183

Filename

1689183