A NOVEL CLASS OF BIBO STABLE RECURSIVE NONLINEAR FILTERS

被引：0

作者：

Sicuranza, Giovanni L. ^{[1
]}

Carini, Alberto ^{[1
]}

机构：

[1] Univ Trieste, DIA, I-34127 Trieste, Italy

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2014年

关键词：

Nonlinear systems; linear-in-the-parameters nonlinear filters; universal approximators; BIBO stability; ACTIVE CONTROL; VOLTERRA; STABILITY;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we introduce a novel class of nonlinear filters characterized by two interesting properties: (i) according to the Stone-Weierstrass approximation theorem, the proposed nonlinear filters are able to arbitrarily well approximate any discrete-time, time-invariant, causal, infinite-memory, continuous, nonlinear system; (ii) the filters are always stable according to the bounded-input-bounded-output criterion. This novel class includes as a subclass the finite-memory even mirror Fourier nonlinear filters, which have been recently introduced as an useful tool for modeling strong saturation nonlinearities.

引用

页数：5

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