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An Improved Secondary Path Modeling Method by Modified Kuo Model  

Park, Byoung-Uk (Department of Electronic Engineering, Chongju University)
Kim, Hack-Yoon (Department of Electronic Engineering, Chongju University)
Abstract
Kuo et al proposed an on-line method for an adaptive prediction error filter for improving secondary path modeling performance in the modeling method of the secondary path. This method have some disadvantages, namely having to use additive noise with the result that noise control performance is not good since it is focused on the estimated performance of the secondary path. In this paper, we proposes a modified Kuo model using gain control parameter and delay. It uses a reference signal for additive noise to improve the problems in the existing Kuo model.
Keywords
Adaptive signal processing; Active noise control (ANC); Secondary path; Kuo model;
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