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Nonlinear Loudspeaker Adaptive Controllers using Kalman and RLS Adaptive Algorithms
The nonlinear behavior of loudspeaker is responsible for distorting the sound it reproduces. In order to decrease that distortion, nonlinear controllers are used. However, a good knowledge of the loudspeaker parameters is required so that the controllers can be effective. Based both on a simplified nonlinear model of the loudspeaker and a modification to adaptive filers, systems for the estimation of the mechanical and electrical parameters of the loudspeaker where developed. The application of the Kalman and the RLS adaptive algorithms shown that both converge, although the convergence time for the electrical part estimation system was about 15 times slower than for the mechanical one.
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