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ICASSP
2011
IEEE

Adaptive recursive FLANN filters for nonlinear active noise control

12 years 7 months ago
Adaptive recursive FLANN filters for nonlinear active noise control
In this paper, a recursive nonlinear filter exploiting trigonometric expansions of the past output samples is introduced. Its peculiarity is, in general, the ability to model real nonlinear systems with a reduced number of coefficients in comparison to finite-memory filters, as IIR filters often do in the linear case. However, the main drawback of recursive models is the need to guarantee, or at least verify, their bounded-input-bounded-output stability. In this paper, a sufficient stability condition is presented, showing that our recursive nonlinear filter is not affected by instabilities when the input signal has finite amplitude and the recursive linear part of the filter is stable. The filter has an interesting application in nonlinear feedforward active noise control since it is able to take into account the acoustic feedback between the loudspeaker, that generates the canceling sound, and the reference microphone, that senses the noise to be canceled, in presence of n...
Giovanni L. Sicuranza, Alberto Carini
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Giovanni L. Sicuranza, Alberto Carini
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