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About The Book
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A spline adaptive filter (SAF) based nonlinear active noise control (ANC) system is proposed in this book. The SAF consists of a linear network of adaptive weights in a cascade with an adaptive nonlinear network. This new kind of adaptive function is then applied to the output of a linear adaptive filter and it is used for the identification of Wiener-type nonlinear systems. In addition we derive a simple form of the adaptation algorithm and an upper bound on the choice of the step-size. An extensive simulation study has been conducted to evaluate the noise mitigation performance of the proposed scheme and the new method has been shown to provide improved noise cancellation efficiency with a lesser computational load in comparison with other popular ANC systems.