DMCA
Fourier Models For Non-Linear Signal Processing (1999)
BibTeX
@MISC{Pages-Zamora99fouriermodels,
author = {Alba Pages-Zamora and Miguel A. Lagunas},
title = {Fourier Models For Non-Linear Signal Processing},
year = {1999}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
This paper proposes a trigonometric functional extension, hereafter named the Fourier model, as an alternative framework to the Volterra approach for non-linear systems modelling. This work is focused on the general advantages that trigonometric functionals show in adaptive implementations and also on the possibility they provide to reuse well-known linear processing tools in a non-linear context. The performance of the Fourier model is compared in a set of simulations that cover companders for audio and radio frequency amplifiers, Probability Density Function (PDF) whitening and PDF estimation.
Keyphrases
fourier model non-linear signal processing alternative framework non-linear system trigonometric functional extension probability density function non-linear context well-known linear processing tool radio frequency amplifier general advantage trigonometric functionals volterra approach pdf estimation adaptive implementation
