Fourier models for non linear signal processing
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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.
CitationPages, A., Lagunas, M. Fourier models for non linear signal processing. "Signal processing", Desembre 1999, vol. 76, núm. 1, p. 1-16.