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Fourier models for non-linear signal processing

delete1999-07-01
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PRE
AI
A
Alba Pagés-Zamora
M
M.A. Lagunas
DOI：10.1016/S0165-1684(98)00243-6delete
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Abstract

Abstract

En 中文
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. (C) 1999 Elsevier Science B.V. All rights reserved.
Keywords:
non-linear system modelling
non-linear functionals
Fourier series
Volterra model
probability density
function estimate
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Journal

Signal Processing cover
Signal Processing
IF:
3.6
Papers:
9.9K
Citations:
1.7W

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