Fourier models for non-linear signal processing

被引：2

作者：

Pagès-Zamora, A ^{[1
]}

Lagunas, MA ^{[1
]}

机构：

[1] Univ Politecn Cataluna, TSC Dept, ES-08034 Barcelona, Spain

来源：

SIGNAL PROCESSING | 1999年 / 76卷 / 01期

关键词：

non-linear system modelling; non-linear functionals; Fourier series; Volterra model; probability density; function estimate;

D O I：

10.1016/S0165-1684(98)00243-6

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1 / 16

页数：16

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