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Active Noise Control (ANC) problems are often affected by nonlinear effects, such as saturation and distortion of microphones and loudspeakers. Nonlinear models and specific adaptation algorithms must be employed to properly account for these effects. The nonlinear structure of the problem complicates the application of gradient-based Least Mean Squares (LMS) algorithms, due to the fact that exact...
Model structure selection is a crucial task in applications where nonlinear black-box models are used, in order to reduce the model size and the associated computational effort. One such application is Active Noise Control (ANC), where nonlinear effects arise due e.g. to saturation and distortion of microphones and loudspeakers. Both parameter estimation and model selection are complex in the general...
Nonlinear effects, such as saturation and distortion of microphones and loudspeakers, are often experienced in complex Active Noise Control (ANC) problem settings. A nonlinear control filter must be employed to adequately address these issues, together with an ad hoc adaptive algorithm to tune its parameters. The nonlinear ANC (NANC) problem is particularly involved if the secondary path is nonlinear,...
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