%0 Journal Article
%T Adaptive active noise control based on Renyis quadratic entropy<br>基于2阶Renyi熵的自适应主动噪声控制
%A ZHANG Xing-hua
%A REN Xue-mei
%A <br>张兴华
%A 任雪梅
%J 控制理论与应用
%D 2009
%I 
%X The classical feedforward active noise control methods with mean-square error criteria only consider second order statistics of signals, but neglect real existing non-Gaussian signals. Therefore, these methods do not perform well for non-Gaussian noises. An adaptive finite impulse response(FIR) controller with filtered X algorithm based on Renyis quadratic entropy is proposed to attenuate the noises. Renyis quadratic entropy is defined as the performance index; and the probability density function of the system error is estimated by Parzen windowing estimation method. Renyis quadratic entropy information gradient descent algorithm is applied to the adaptive FIR controller. In addition, the computational complexity and convergence of the proposed algorithm are analyzed. The simulations of single frequency signal and real non-Guassian broadband noises demonstrate that the proposed scheme can improve the non-Gaussian noises reduction performance.
%K non-Gaussian noises
%K Renyi's quadratic entropy
%K active noise control
%K Parzen windowing estimation<br>非高斯噪声
%K 2阶Renyi熵
%K 主动噪声控制
%K Parzen窗估计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=51245561761371154A839C758DC16A51&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=59906B3B2830C2C5&sid=C429879D42743822&eid=E0D5583D4EFFC59B&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=9