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Fourier nonlinear filters
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DOI：10.1016/j.sigpro.2013.06.018.png)
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Abstract
En 中文
In this paper, two new sub-classes of linear-in-the-parameters nonlinear discrete-time filters, derived from the truncation of multidimensional generalized Fourier series, are presented. The filters, called Fourier nonlinear filters and even mirror Fourier nonlinear filters, are universal approximators for causal, time-invariant, finite-memory, continuous nonlinear systems, according to the Stone-Weierstrass approximation theorem. Their properties and limitations are discussed in detail. In particular, we show, by means of appropriate simulation examples, that an orthogonality property they satisfy for white uniform input signals is useful for improving the identification of nonlinear systems. (C) 2013 Elsevier B.V. All rights reserved.
Keywords:
Nonlinear filters
Volterra filters
Fourier nonlinear filters
Even mirror Fourier nonlinear filters
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