Kuo S M,Morgan D R,Active noise control:a tutorial review,Proceeding of the IEEE,1999(6).
[2]
Das D P,Panda G,Kuo S M,New block filtered-X LMS algorithms for active noise control systems,IET Signal Processing,2007(2).
[3]
Das D P,Panda G,Active mitigation of nonlinear noise processes using a novel filtered-s LMS algorithm,IEEE Transactions on Speech and Audio Processing,2004(3).
[4]
Tan L,Jiang J,Adaptive volterra filters for active control of nonlinear noise processes,IEEE Transactions on Signal Processing,2001(8).
[5]
Bouchard M,Paillard B,Dinh C T L,Improved training of neural networks for the nonlinear active control of sound and vibration,IEEE Transactions on Neural Networks,1999(2).
[6]
Hlaing Y M,Chiu M S,Lakshminarayanan S,Modelling and control of multivariable processes using generalized Hammerstein model,Chemical Engineering Research and Design,2007(A4).
[7]
Mathews V J,Sicuranza G L,Polynomial signal processing,New York:John Wiley and Sons,Inc,2000.
[8]
Erdogmus D,Hild K E,Principe J C,Blind source separation using Renyi\'s α-marginal entropy,NEUROCOMPUTING,2002.
[9]
Afshar P,Wang H,ILC-based adaptive minimum entropy control for general stochastic systems using neural networks,New Orleans,USA:Institute of Electrical and Electronic Engineers Inc,2008.
[10]
Erdogmus D,Principe J C,Convergence properties and data efficiency of the minimum error entropy criterion in Adaline training,IEEE Transactions on Signal Processing,2003(7).
[11]
Chen B D,Hu J C,Sun Z Q,A joint stochastic gradient algorithm and its application to system identification with RBF networks,Dalian,China,IEEE,2006.
[12]
Parzen E,On the estimation of a probability density function and model,Annals of Mathematical Statistics,1962(3).
[13]
Zhang Q Z,Gan W S,Zhou Y L,Adaptive recurrent fuzzy neural networks for active noise control,Journal of Sound and Vibration,2006.
