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Fourier models for non-linear signal processing
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DOI：10.1016/S0165-1684(98)00243-6.png)
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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.
Keyword:
non-linear system modelling
non-linear functionals
Fourier series
Volterra model
probability density
function estimate
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3.6
论文数:
10.0K
被引数:
1.7W
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