Ou Shi-Feng, Gao Ying, Zhao Xiao-Hui. Stochastic gradient based variable momentum factor algorithm for adaptive whitening. Acta Automatica Sinica, 2012, 38(8): 1370-1374 (欧世峰, 高颖, 赵晓晖. 基于随机梯度的变动量因子自适应白化算法. 自动化学报, 2012, 38(8): 1370-1374)
[2]
Dahanayake B W, Upton A R. A novel approach to fast learning: smart neural nets. IEEE World Congress on Computational Intelligence, 1994, 1(5): 572-577
[3]
Cho H, Lee C H, Kim S W. Derivation of a new normalized least mean squares algorithm with modified minimization criterion. Signal Processing, 2009, 89(4): 692-695
[4]
Ting L K, Cowan C F N, Woods R F. Tracking performance of momentum LMS algorithm for a chirped sinusoidal signal. Processing EUSIPCO, 2000, (3): 985-988
[5]
Chang C Y. Neural filtered-U algorithm for the application of active noise control system with correction terms momentum. Digital Signal Processing, 2010, 20(4): 1019-1026
[6]
Shi Yong, Han Chong-Zhao. Adaptive UKF method with applications to target tracking. Acta Automatica Sinica, 2011, 37(6): 755-759 (石勇, 韩崇昭. 自适应UKF算法在目标跟踪中的应用. 自动化学报, 2011, 37(6): 755-759)
[7]
Qu Cong-Shan, Lu Ting-Zhen, Tan Ying. A modifed empirical mode decomposition method with applications to signal de-noising. Acta Automatica Sinica, 2010, 36(1): 67-73 (曲从善, 路廷镇, 谭营. 一种改进型经验模态分解及其在信号消噪中的应用. 自动化学报, 2010, 36(1): 67-73)
[8]
Williamson G A, Clarkson P M, Sethares W A. Performance characteristics of the median LMS adaptive filter. IEEE Transactions on Signal Processing, 1993, 41(2): 1172-1181
[9]
Mathews V J, Xie Z. A stochastic gradient adaptive filter with gradient adaptive step size. IEEE Transactions on Signal Processing, 1993, 41(6): 2075-2087
[10]
Ang W P, Farhang-Boroujeny B. A new class of gradient adaptive step-size LMS algorithms. IEEE Transactions on Circuits and Systems, 2001, 49(4): 805-810
Xiao Y G, Tadokoro Y, Shida K. Adaptive algorithm based on least mean p-power error criterion for Fourier analysis in additive noise. IEEE Transactions on Signal Processing, 1999, 47(4): 1172-1181
[13]
Xiao Y G, Ikuta A, Ma L, Khorosani K. Stochastic analysis of the FXLMS-based narrowband active noise control system. IEEE Transactions on Audio, Speech, Language Processing, 2008, 16(5): 1000-1014
[14]
Wang L, Gan W S. Convergence analysis of narrowband active noise equalizer system under imperfect secondary path estimation. IEEE Transactions on Audio, Speech, Language Processing, 2009, 17(4): 566-571
[15]
Xiao Y, Ma L, Hasegawa K. Properties of FXLMS-based narrowband active noise control with online secondary-path modeling. IEEE Transactions on Signal Processing, 2009, 57(8): 2931-2949
[16]
Sun X, Kuo S M. Active narrowband noise control systems using cascading adaptive filters. IEEE Transactions on Audio, Speech, Language Processing, 2007, 15(2): 586-592
[17]
Huang B Y, Xiao Y G, Sun J W, Wei G. A variable step-size FXLMS algorithm for narrowband active noise control. IEEE Transactions on Audio, Speech, and Language Processing, 2013, 21(2): 301-312
[18]
Xiao Y G, Ma L Y, Ward R, Xu L. Fast RLS Fourier analyzers capable of accommodating frequency mismatch. Signal Processing, 2007, 87(4): 2197-2212
[19]
Kuo S M, Puvvala A B. Effects of frequency separation in periodic active noise control systems. IEEE Transactions on Audio, Speech, Language Processing, 2006, 14(5): 1857-1866
[20]
Jeon H J, Chang T G, Kuo S M. Analysis of frequency mismatch in narrowband active noise control. IEEE Transactions on Audio, Speech, Language Processing, 2010, 18(6): 1632-1642
[21]
Dahanayake B W, Upton A R. Derivation of momentum LMS learning algorithms by mimizing objective functions. IEEE International Conference on Neural Networks, 1993, 2(36): 831-835
