Active control of impulsive noise based on a modified convex combination algorithm
Tài liệu tham khảo
Kuo, 1996
Zhao, 2013, Adaptive RSOV filter using the FELMS algorithm for nonlinear active noise control systems, Mech Syst Signal Process, 34, 378, 10.1016/j.ymssp.2012.06.020
Kuo, 2006, Active noise control system for headphone applications, IEEE Trans Control Syst Technol, 14, 331, 10.1109/TCST.2005.863667
Johansonn, 1998, Active noise control in propeller aircraft, Proc ISMA, 23, 13
Sutton, 1994, Active control of road inside vehicles, Noise Control Eng J, 42, 137, 10.3397/1.2828351
Widrow, 1985
Mondal (Das), 2018, All-pass filtered x least mean square algorithm for narrowband active noise control, Appl Acoust, 142, 1, 10.1016/j.apacoust.2018.07.026
Behuria, 2015, Int Conf Adv Comput Commun Informatics, ICACCI, 2015, 166
Kunchakoori N, Routray A, Das DP. An energy function based fuzzy variable step size FxLMS algorithm for active noise control. IEEE Reg 10 Colloq 3rd Int Conf Ind Inf Syst ICIIS 2008 2008:1–7. https://doi.org/10.1109/ICIINFS.2008.4798476.
Chang, 2014, Feedforward active noise control with a new variable tap-length and step-size filtered-X LMS algorithm, IEEE Trans Audio Speech Lang Process, 22, 542, 10.1109/TASLP.2013.2297016
Zhao, 2009, Variable step-size LMS algorithm with a quotient form, Signal Process, 89, 67, 10.1016/j.sigpro.2008.07.013
Meng, 2021, Particle swarm optimization based novel adaptive step-size FxLMS algorithm with reference signal smoothing processor for feedforward active noise control systems, Appl Acoust, 174, 107796, 10.1016/j.apacoust.2020.107796
Huang, 2013, A variable step-size FXLMS algorithm for narrowband active noise control, IEEE Trans Audio Speech Lang Process, 21, 301, 10.1109/TASL.2012.2223673
Casco‐Sanchez, 2019, A variable-step size NLMS algorithm based on the cross-correlation between the squared output error and the near-end input signal, IEEJ Trans Electr Electron Eng, 14, 1197, 10.1002/tee.22918
Li, 2008, A new variable step-size NLMS algorithm designed for applications with exponential decay impulse responses, Signal Process, 88, 2346, 10.1016/j.sigpro.2008.03.002
Shi, 2010, A variable-step-size NLMS algorithm using statistics of channel response, Signal Process, 90, 2107, 10.1016/j.sigpro.2010.01.015
Sun, 2006, Adaptive algorithm for active control of impulsive noise, J Sound Vib, 291, 516, 10.1016/j.jsv.2005.06.011
Tahir Akhtar, 2009, Improving performance of FxLMS algorithm for active noise control of impulsive noise, J Sound Vib, 327, 647, 10.1016/j.jsv.2009.07.023
Akhtar, 2011, Improving robustness of filtered-x least mean p-power algorithm for active attenuation of standard symmetric-α-stable impulsive noise, Appl Acoust, 72, 688, 10.1016/j.apacoust.2011.02.009
Lan, 2002, A weight-constrained FxLMS algorithm for feedforward active noise control systems, IEEE Signal Process Lett, 9, 1, 10.1109/97.988714
Meng, 2020, A modified adaptive weight-constrained FxLMS algorithm for feedforward active noise control systems, Appl Acoust, 164, 107227, 10.1016/j.apacoust.2020.107227
Thanigai, 2007, Nonlinear active noise control for infant incubators in neo-natal intensive care units, ICASSP, IEEE Int Conf Acoust Speech Signal Process – Proc, 1, 109
Li P, Yu X. Comparison study of active noise cancelation algorithms for impulsive noise. ASME 2011 Int Mech Eng Congr Expo IMECE 2011 2011;8:705–9. https://doi.org/10.1115/imece2011-63925.
Wu, 2013, An M-Estimator based algorithm for active impulse-like noise control, Appl Acoust, 74, 407, 10.1016/j.apacoust.2012.06.019
Wu, 2011, An active impulsive noise control algorithm with logarithmic transformation, IEEE Trans Audio Speech Lang Process, 19, 1041, 10.1109/TASL.2010.2061227
Zhou, 2012, Active control of SαS impulsive noise based on a sigmoid transformation algorithm, Int Conf Signal Process Proceedings, ICSP, 1, 285
Leahy R, Zhenyu Zhou, Yung-Chih Hsu. Adaptive filtering of stable processes for active attenuation of impulsive noise. 1995 Int. Conf. Acoust. Speech, Signal Process., vol. 5, IEEE; 1995, p. 2983–6. https://doi.org/10.1109/ICASSP.1995.479472.
Kurian, 2017, Robust active noise control: An information theoretic learning approach, Appl Acoust, 117, 180, 10.1016/j.apacoust.2016.10.026
Chen, 2017, Kernel risk-sensitive loss: definition, properties and application to robust adaptive filtering, IEEE Trans Signal Process, 65, 2888, 10.1109/TSP.2017.2669903
Chen, 2016, Generalized Correntropy for Robust Adaptive Filtering, IEEE Trans Signal Process, 64, 3376, 10.1109/TSP.2016.2539127
Huang, 2017, Maximum versoria criterion-based robust adaptive filtering algorithm, IEEE Trans Circuits Syst II Express Briefs, 64, 1252
Akhtar, 2018, An adaptive algorithm, based on modified tanh non-linearity and fractional processing, for impulsive active noise control systems, J Low Freq Noise Vib Act Control, 37, 495, 10.1177/1461348417725952
Krämer W. Signal processing with alpha-stable distributions and applications 1996;22:334. https://doi.org/10.1016/0167-9473(96)81457-5.
Ferrer, 2013, Convex combination filtered-x algorithms for active noise control systems, IEEE Trans Audio Speech Lang Process, 21, 156, 10.1109/TASL.2012.2215595
Gu, 2021, An enhanced normalized step-size algorithm based on adjustable nonlinear transformation function for active control of impulsive noise, Appl Acoust, 176, 107853, 10.1016/j.apacoust.2020.107853
