A survey on active noise control in the past decade - Part I: Linear systems
暂无分享,去创建一个
Zongsheng Zheng | Lu Lu | Yi Yu | Xiaomin Yang | Kai-Li Yin | Badong Chen | Rodrigo C. de Lamare | Badong Chen | Xiaomin Yang | Yi Yu | Lu Lu | Zongsheng Zheng | Kai-Li Yin | R. Lamare
[1] Yaping Ma,et al. A New Strategy for Online Secondary-Path Modeling of Narrowband Active Noise Control , 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[2] Muhammad Saeed Aslam. Maximum likelihood least squares identification method for active noise control systems with autoregressive moving average noise , 2016, Autom..
[3] Rui Seara,et al. Modified filtered-reference / filtered-error LMS algorithm: Algorithm and stochastic model , 2009, 2009 17th European Signal Processing Conference.
[4] Young-Cheol Park,et al. A variable step-size filtered-x gradient adaptive lattice algorithm for active noise control , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[5] Woon-Seng Gan,et al. Recent advances on active noise control: open issues and innovative applications , 2012, APSIPA Transactions on Signal and Information Processing.
[6] E. Masgrau,et al. Novel FxLMS Convergence Condition With Deterministic Reference , 2006, IEEE Transactions on Signal Processing.
[7] Jordan Cheer,et al. The application of a multi-reference control strategy to noise cancelling headphones. , 2019, The Journal of the Acoustical Society of America.
[8] Lei Luo,et al. A novel FELMS-based narrowband active noise control system and its convergence analysis , 2019 .
[9] Jinwei Sun,et al. A Variable Step-Size FXLMS Algorithm for Narrowband Active Noise Control , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[10] Woon-Seng Gan,et al. New feedback active noise control system with improved performance , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[11] Rui Seara,et al. Leaky-FXLMS algorithm: stochastic analysis for Gaussian data and secondary path modeling error , 2005, IEEE Transactions on Speech and Audio Processing.
[12] Elias Bjarnason. Analysis of the filtered-X LMS algorithm , 1995, IEEE Trans. Speech Audio Process..
[13] J. Diaz,et al. A local active noise control system based on a virtual-microphone technique for railway sleeping vehicle applications , 2006 .
[14] Shahzad Amin Sheikh,et al. Robust adaptive algorithm for active control of impulsive noise , 2016, EURASIP J. Adv. Signal Process..
[15] Marek Pawelczyk,et al. Design and implementation of multichannel global active structural acoustic control for a device casing , 2018 .
[16] PooGyeon Park,et al. An optimal variable step-size affine projection algorithm for the modified filtered-x active noise control , 2015, Signal Process..
[17] M. Ayala Botto,et al. 1 ACOUSTIC NOISE IDENTIFICATION USING FUZZY MODELING TECHNIQUES , 2000 .
[18] Ben Cazzolato,et al. An adaptive LMS virtual microphone , 2002 .
[19] Lu Lu,et al. Active impulsive noise control using maximum correntropy with adaptive kernel size , 2017 .
[20] Iman Tabatabaei Ardekani,et al. Theoretical convergence analysis of FxLMS algorithm , 2010, Signal Process..
[21] Paulo A. C. Lopes,et al. The Random Walk Model Kalman Filter in Multichannel Active Noise Control , 2015, IEEE Signal Processing Letters.
[22] Akira Ikuta,et al. Stochastic Analysis of the FXLMS-Based Narrowband Active Noise Control System , 2008, IEEE Transactions on Audio, Speech, and Language Processing.
[23] Dongyuan Shi,et al. Feedforward Selective Fixed-Filter Active Noise Control: Algorithm and Implementation , 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[24] Udo Zölzer,et al. Hybrid Active Noise Control Structures: A Short Overview , 2018, ITG Symposium on Speech Communication.
[25] Zarko Zecevic,et al. Increasing convergence speed of FxLMS algorithm in white noise environment , 2013 .
[26] Colin H. Hansen,et al. A Kalman filter approach to virtual sensing for active noise control , 2008 .
[27] Yegui Xiao,et al. Properties of FXLMS-Based Narrowband Active Noise Control With Online Secondary-Path Modeling , 2009, IEEE Transactions on Signal Processing.
[28] Stephen J. Elliott,et al. Analysis and measurement of a matched volume velocity sensor and uniform force actuator for active structural acoustic control , 2001 .
[29] Jordan Cheer,et al. An Investigation of Delayless Subband Adaptive Filtering for Multi-Input Multi-Output Active Noise Control Applications , 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[30] Xuefeng Chen,et al. Analysis and compensation of reference frequency mismatch in multiple-frequency feedforward active noise and vibration control system , 2017 .
[31] Jun Yang,et al. Convergence analysis of the conventional filtered-x affine projection algorithm for active noise control , 2020, Signal Process..
[32] Alberto González,et al. Combinations of proportionate adaptive filters in acoustics: An application to active noise control , 2011, 2011 19th European Signal Processing Conference.
[33] Paul Sas,et al. Adaptive active control of noise in 3-D reverberant enclosures , 1993 .
[34] Christophe Beaugeant,et al. Active noise control in headsets: A new approach for broadband feedback ANC , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[35] Cheng-Yuan Chang,et al. Development of equation-error adaptive IIR-filter-based active noise control system , 2020 .
[36] Chunhua Shen,et al. Lattice form adaptive infinite impulse response filtering algorithm for active noise control. , 2003, Journal of the Acoustical Society of America.
[37] M.N.S. Swamy,et al. Design and analysis of an improved hybrid active noise control system , 2017 .
[38] Zarko Zecevic,et al. A new adaptive algorithm for improving the ANC system performance , 2015 .
[39] Xi Zhang,et al. Robust Auxiliary-Noise-Power Scheduling in Active Noise Control Systems With Online Secondary Path Modeling , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[40] M. Bai,et al. Implementation of an active headset by using the H∞ robust control theory , 1997 .
[41] Xiaojun Qiu,et al. Active impulsive noise control algorithm with post adaptive filter coefficient filtering , 2013, IET Signal Process..
[42] Guillaume Barrault,et al. New analytical model for the filtered-x least mean squares algorithm verified through active noise control experiment , 2007 .
[43] Xiaolan Wang,et al. Vehicle interior noise active control based on piezoelectric ceramic materials and improved fuzzy control algorithm , 2019, Applied Acoustics.
[44] Li Tan,et al. Active control of impulsive noise using a nonlinear companding function , 2015 .
[45] Min Gao,et al. A Simplified Subband ANC Algorithm Without Secondary Path Modeling , 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[46] Ganapati Panda,et al. New block filtered-X LMS algorithms for active noise control systems , 2007 .
[47] Luis Vicente. Effect of modeling errors on virtual sensing systems for active noise control , 2013 .
[48] Dayong Zhou,et al. A New Active Noise Control Algorithm That Requires No Secondary Path Identification Based on the SPR Property , 2007, IEEE Transactions on Signal Processing.
[49] Shahzad Amin Sheikh,et al. Less complex solutions for active noise control of impulsive noise , 2020 .
[50] Badong Chen,et al. A survey on active noise control in the past decade-Part II: Nonlinear systems , 2021, Signal Process..
[51] Z. Qiu,et al. A multi-resolution filtered-x LMS algorithm based on discrete wavelet transform for active noise control , 2016 .
[52] Waqas Ahmed,et al. A robust approach for online feedback path modeling in single-channel narrow-band active noise control systems using two distinct variable step size methods , 2018 .
[53] M. N. Shanmukha Swamy,et al. A New Hybrid Active Noise Control System with Convex Combination of Time and Frequency Domain Filtered-X LMS Algorithms , 2018, Circuits Syst. Signal Process..
[54] Young-Cheol Park,et al. A delayless subband active noise control system for wideband noise control , 2001, IEEE Trans. Speech Audio Process..
[55] S.D. Snyder,et al. Active control using IIR filters-a second look , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.
[56] Roshun Paurobally,et al. Improving active control of fan noise with automatic spectral reshaping for reference signal , 2015 .
[57] Ming Wu,et al. A narrowband active noise control system with a frequency estimation algorithm based on parallel adaptive notch filter , 2019, Signal Process..
[58] Iman Tabatabaei Ardekani,et al. Stability of Residual Acoustic Noise Variance in active control of stochastic noise , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[59] Jinwei Sun,et al. A novel feedback active noise control for broadband chaotic noise and random noise , 2017 .
[60] Dong Woo Kim,et al. Recursive Least-Squares Lattice Algorithm Combined With Secondary-Path Innovation and Lattice-Order Decision Algorithms for Active Noise Control , 2020, IEEE Access.
[61] Woon-Seng Gan,et al. An Improved Selective Active Noise Control Algorithm Based on Empirical Wavelet Transform , 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[62] Michel Verhaegen,et al. Convergence analysis of the Filtered-U LMS algorithm for active noise control in case perfect cancellation is not possible , 2003, Signal Process..
[63] O. Kipersztok,et al. Fuzzy active control of a distributed broadband noise source , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.
[64] Xiaojun Qiu,et al. Decentralized Two-Channel Active Noise Control for Single Frequency by Shaping Matrix Eigenvalues , 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[65] Hideaki Sakai,et al. Mean-square performance of the filtered-reference/ filtered-error LMS algorithm , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.
[66] Jan Swevers,et al. Experimental study on active structural acoustic control of rotating machinery using rotating piezo-based inertial actuators , 2015 .
[67] Shigeki Miyoshi,et al. Statistical-mechanics approach to the filtered-X LMS algorithm , 2011 .
[68] Mones E. Hawley. Acoustic Interference for Noise Control , 1956 .
[69] L. J. Eriksson,et al. Use of random noise for on‐line transducer modeling in an adaptive active attenuation system , 1986 .
[70] Gema Piñero,et al. Distributed Affine Projection Algorithm Over Acoustically Coupled Sensor Networks , 2017, IEEE Transactions on Signal Processing.
[71] Yan Song Wang,et al. A normalized frequency-domain block filtered-x LMS algorithm for active vehicle interior noise control , 2019, Mechanical Systems and Signal Processing.
[72] S. Douglas. The fast affine projection algorithm for active noise control , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.
[73] Gibbs,et al. Radiation modal expansion: application to active structural acoustic control , 2000, The Journal of the Acoustical Society of America.
[74] Hans Peter Monner,et al. Experimental investigation of different active noise control concepts applied to a passenger car equipped with an active windshield , 2012 .
[75] Berkhoff. Sensor scheme design for active structural acoustic control , 2000, The Journal of the Acoustical Society of America.
[76] Iman Tabatabaei Ardekani,et al. A Statistical Inverse Problem Approach to Online Secondary Path Modeling in Active Noise Control , 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[77] Woon-Seng Gan,et al. Applications of adaptive feedback active noise control system , 2003, IEEE Trans. Control. Syst. Technol..
[78] S. Kuo,et al. A Narrowband Active Noise Control System With Frequency Corrector , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[79] Xu Sun,et al. Steiglitz-Mcbride type adaptive IIR algorithm for active noise control , 2004 .
[80] Peng Shi,et al. Variable Threshold-Based Selective Updating Algorithms in Feed-Forward Active Noise Control Systems , 2019, IEEE Transactions on Circuits and Systems I: Regular Papers.
[81] Dayong Zhou,et al. Hybrid filtered error LMS algorithm: another alternative to filtered-x LMS , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.
[82] D.-S. Chen,et al. A new infinite impulse response filter-based adaptive algorithm for active noise control , 2002 .
[83] Iman Tabatabaei Ardekani,et al. Effects of Imperfect Secondary Path Modeling on Adaptive Active Noise Control Systems , 2012, IEEE Transactions on Control Systems Technology.
[84] Paulo Alexandre Crisóstomo Lopes,et al. Auxiliary Noise Power Scheduling Algorithm for Active Noise Control with Online Secondary Path Modeling and Sudden Changes , 2015, IEEE Signal Processing Letters.
[85] Jong-Yih Lin,et al. New FIR filter-based adaptive algorithms incorporating with commutation error to improve active noise control performance , 2007, Autom..
[86] S.J. Elliott,et al. Active noise control , 1993, IEEE Signal Processing Magazine.
[87] Debi Prasad Das,et al. A computationally efficient frequency-domain filtered-X LMS algorithm for virtual microphone , 2013 .
[88] Xiaojun Qiu,et al. A generalized leaky FxLMS algorithm for tuning the waterbed effect of feedback active noise control systems , 2018 .
[89] Alberto Gonzalez,et al. Sound quality of low-frequency and car engine noises after active noise control , 2003 .
[90] Fuyun Ling,et al. The LMS algorithm with delayed coefficient adaptation , 1989, IEEE Trans. Acoust. Speech Signal Process..
[91] Sen M. Kuo,et al. Active noise control: Open problems and challenges , 2010, The 2010 International Conference on Green Circuits and Systems.
[92] Zhigang Liu,et al. Active structural acoustic control of an elastic cylindrical shell coupled to a two-stage vibration isolation system , 2014 .
[93] Lifu Wu,et al. An Active Impulsive Noise Control Algorithm With Logarithmic Transformation , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[94] Mahesh Chandra,et al. Performance evaluation of hybrid active noise control system with online secondary path modeling , 2018 .
[95] Ioan Doré Landau,et al. IIR Youla–Kucera Parameterized Adaptive Feedforward Compensators for Active Vibration Control With Mechanical Coupling , 2013, IEEE Transactions on Control Systems Technology.
[96] Rodrigo C. de Lamare,et al. Sparsity-aware pseudo affine projection algorithm for active noise control , 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.
[97] Yun Li,et al. Review of active noise control techniques with emphasis on sound quality enhancement , 2018, Applied Acoustics.
[98] C.-M. Lee,et al. Time–frequency-domain filtered-x LMS algorithm for active noise control , 2012 .
[99] Young-Cheol Park,et al. A variable step-size gradient adaptive lattice algorithm for multiple sinusoidal interference cancelation , 2013, EURASIP Journal on Advances in Signal Processing.
[100] Scott D. Sommerfeldt,et al. Multi-channel Adaptive Control of Structural Vibration , 1991 .
[101] Chao Sun,et al. A filtered-x weighted accumulated LMS algorithm: Stochastic analysis and simulations for narrowband active noise control system , 2014, Signal Process..
[102] Xiaojun Qiu,et al. Decoupling feedforward and feedback structures in hybrid active noise control systems for uncorrelated narrowband disturbances , 2015 .
[103] Xiaojun Qiu,et al. A 5-stage active control method with online secondary path modelling using decorrelated control signal , 2020 .
[104] Ruchi Kukde,et al. Reduced complexity diffusion filtered x least mean square algorithm for distributed active noise cancellation , 2019, Signal Image Video Process..
[105] Iman Tabatabaei Ardekani,et al. Active Noise Control in Three Dimensions , 2014, IEEE Transactions on Control Systems Technology.
[106] Alberto Carini,et al. Optimal Variable Step-Size NLMS Algorithms With Auxiliary Noise Power Scheduling for Feedforward Active Noise Control , 2008, IEEE Transactions on Audio, Speech, and Language Processing.
[107] Deng Zheng-hong,et al. Blind adaptive preprocessing to multichannel feedfoward active noise control system , 2013 .
[108] James P. Carneal,et al. An analytical and experimental investigation of active structural acoustic control of noise transmission through double panel systems , 2004 .
[109] Masayuki Kawamata,et al. On Active Noise Control Systems With Online Acoustic Feedback Path Modeling , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[110] Ming Zhang,et al. A weight-constrained FxLMS algorithm for feedforward active noise control systems , 2002, IEEE Signal Process. Lett..
[111] Marek Pawelczyk,et al. Analogue active noise control , 2002 .
[112] Jun Yang,et al. A narrowband active noise control system with a frequency estimator based on Bayesian inference , 2019, Journal of Sound and Vibration.
[113] Prasanga N. Samarasinghe,et al. Sparse complex FxLMS for active noise cancellation over spatial regions , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[114] Martin Bouchard. Multichannel affine and fast affine projection algorithms for active noise control and acoustic equalization systems , 2003, IEEE Trans. Speech Audio Process..
[115] Xiaojun Qiu,et al. An Improved Active Noise Control Algorithm Without Secondary Path Identification Based on the Frequency-Domain Subband Architecture , 2008, IEEE Transactions on Audio, Speech, and Language Processing.
[116] Hamid Hassanpour,et al. Designing a new robust on-line secondary path modeling technique for feedforward active noise control systems , 2009, Signal Process..
[117] M. Rupp,et al. Modified FxLMS algorithms with improved convergence performance , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.
[118] Nirmal Kumar Rout,et al. Computationally efficient algorithm for high sampling-frequency operation of active noise control , 2015 .
[119] Jun Yang,et al. A new efficient filtered-x affine projection sign algorithm for active control of impulsive noise , 2016, Signal Process..
[120] Akira Ikuta,et al. A New Robust Narrowband Active Noise Control System in the Presence of Frequency Mismatch , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[121] Dennis R. Morgan,et al. History, applications, and subsequent development of the FXLMS Algorithm [DSP History] , 2013, IEEE Signal Processing Magazine.
[122] Sen M. Kuo,et al. Cross-coupled filtered-X LMS algorithm and lattice structure for active noise control systems , 1993, 1993 IEEE International Symposium on Circuits and Systems.
[123] Z. G. Zhang,et al. A New Variable Regularized Transform Domain NLMS Adaptive Filtering Algorithm—Acoustic Applications and Performance Analysis , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[124] Sen M. Kuo,et al. Active noise control: a tutorial review , 1999, Proc. IEEE.
[125] Lu Lu,et al. Improved Filtered-x Least Mean Kurtosis Algorithm for Active Noise Control , 2017, Circuits Syst. Signal Process..
[126] Syed Muslim Shah,et al. Fractional-order adaptive signal processing strategies for active noise control systems , 2016 .
[127] Muhammad Tahir Akhtar,et al. A Normalized Filtered-x Generalized Fractional Lower Order Moment Adaptive Algorithm for Impulsive ANC Systems , 2018, 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS).
[128] Jordan Cheer,et al. Active noise control of a diesel generator in a luxury yacht , 2016 .
[129] Yecai Guo,et al. A simplified adaptive feedback active noise control system , 2014 .
[130] Issa M. S. Panahi,et al. Psychoacoustic active noise control based on delayless subband adaptive filtering , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[131] Jan Swevers,et al. A piezo-based bearing for the active structural acoustic control of rotating machinery , 2010 .
[132] Xiaojun Qiu,et al. An M-Estimator based algorithm for active impulse-like noise control , 2013 .
[133] A NEW FILTERED LMS ALGORITHM FOR ACTIVE NOISE CONTROL , 1999 .
[134] Jonathon A. Chambers,et al. Fractional normalised filtered-error least mean squares algorithm for application in active noise control systems , 2014 .
[135] Giovanni L. Sicuranza,et al. Steady-state and transient analysis of multichannel filtered-x affine projection algorithms , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[136] Yoshinobu Kajikawa,et al. Statistical-mechanical analysis of the FXLMS algorithm with actual primary path , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[137] S. V. Modak,et al. Global active control of harmonic noise in a vibro-acoustic cavity using Modal FxLMS algorithm , 2019, Applied Acoustics.
[138] Ali H. Sayed,et al. A time-domain feedback analysis of filtered-error adaptive gradient algorithms , 1996, IEEE Trans. Signal Process..
[139] W. Baumann,et al. Active structural acoustic control of broadband disturbances , 1992 .
[140] Chuang Shi,et al. Selective Virtual Sensing Technique for Multi-channel Feedforward Active Noise Control Systems , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[141] L. Eriksson. Development of the filtered‐U algorithm for active noise control , 1990 .
[142] Muhammad Tahir Akhtar,et al. A time-varying normalized step-size based generalized fractional moment adaptive algorithm and its application to ANC of impulsive sources , 2019 .
[143] Alberto González,et al. Convex Combination Filtered-X Algorithms for Active Noise Control Systems , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[144] Javad Poshtan,et al. A new adaptive recursive RLS-based fast-array IIR filter for active noise and vibration control systems , 2011, Signal Process..
[145] Hoong Thiam Toh,et al. All-pass filtered x least mean square algorithm for narrowband active noise control , 2018, Applied Acoustics.
[146] Woon-Seng Gan,et al. Psychoacoustic hybrid active noise control system , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[147] Dong-Yuan Shi,et al. A Novel Selective Active Noise Control Algorithm to Overcome Practical Implementation Issue , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[148] PooGyeon Park,et al. Two-stage active noise control with online secondary-path filter based on an adapted scheduled-stepsize NLMS algorithm , 2020, Applied Acoustics.
[149] P. Park,et al. A filtered-x VSS-NSAF active noise control algorithm robust to impulsive noise through the application of step-size scaler , 2018, 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
[150] Kari Tammi,et al. Exact LTP Representation of the Generalized Periodic-Reference FxLMS Algorithm , 2014, IEEE Transactions on Signal Processing.
[151] J. M. Sousa,et al. Inverse fuzzy modeling applied to active noise control , 2001, 2001 European Control Conference (ECC).
[152] Lutfiye Durak-Ata,et al. Adaptive fractional Fourier domain filtering , 2010, Signal Process..
[153] Alberto González,et al. Steady-State Mean Square Performance of the Multichannel Filtered-X Affine Projection Algorithm , 2012, IEEE Transactions on Signal Processing.
[154] Wim Desmet,et al. Active structural acoustic control of repetitive impact noise , 2004 .
[155] José Carlos M. Bermudez,et al. Mean weight behavior of the filtered-X LMS algorithm , 2000, IEEE Trans. Signal Process..
[156] Iman Tabatabaei Ardekani,et al. On the stability of adaptation process in active noise control systems. , 2011, The Journal of the Acoustical Society of America.
[157] Yuriy V. Zakharov,et al. Pseudo-Affine Projection Algorithms for Multichannel Active Noise Control , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[158] Yegui Xiao,et al. A New Efficient Narrowband Active Noise Control System and its Performance Analysis , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[159] Shouda Jiang,et al. A variable momentum factor filtered-x weighted accumulated LMS algorithm for narrowband active noise control systems , 2014 .
[160] C. Fuller,et al. Modal sensing of efficient acoustic radiators with polyvinylidene fluoride distributed sensors in active structural acoustic control approaches , 1992 .
[161] Michel Verhaegen,et al. Robustness of the Filtered-X LMS Algorithm— Part I: Necessary Conditions for Convergence and the Asymptotic Pseudospectrum of Toeplitz Matrices , 2007, IEEE Transactions on Signal Processing.
[162] Waleed H. Abdulla,et al. On FxLMS Scheme for Active Noise Control at Remote Location , 2020, IEEE Access.
[163] Benoît Champagne,et al. Estimation of Space-Time Varying Parameters Using a Diffusion LMS Algorithm , 2014, IEEE Transactions on Signal Processing.
[164] Waleed H Abdulla,et al. Root locus analysis and design of the adaptation process in active noise control. , 2012, The Journal of the Acoustical Society of America.
[165] Woon-Seng Gan,et al. Integrated psychoacoustic active noise control and masking , 2019 .
[166] Paulo Alexandre Crisóstomo Lopes,et al. The MMFxLMS algorithm for active noise control with on-line secondary path modelling , 2017, Digit. Signal Process..
[167] Giovanni L. Sicuranza,et al. Nonlinear multichannel active noise control using partial updates [acoustic noise control] , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[168] Joao M. C. Sousa,et al. Intelligent active noise control applied to a laboratory railway coach model , 2005 .
[169] Stephen J. Elliott,et al. A multiple error LMS algorithm and its application to the active control of sound and vibration , 1987, IEEE Trans. Acoust. Speech Signal Process..
[170] José A. B. Gerald,et al. A narrowband active noise control system with reference synthesis , 2019, International Journal of Adaptive Control and Signal Processing.
[171] Trideba Padhi,et al. Cascading time-frequency domain filtered-x LMS algorithm for active control of uncorrelated disturbances , 2019 .
[172] Muhammad Tahir Akhtar,et al. Gain Scheduling of Auxiliary Noise and Variable Step-Size for Online Acoustic Feedback Cancellation in Narrow-Band Active Noise Control Systems , 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[173] Alberto González,et al. Active noise control over adaptive distributed networks , 2015, Signal Process..
[174] Ming Zhang,et al. Cross-updated active noise control system with online secondary path modeling , 2001, IEEE Trans. Speech Audio Process..
[175] A P Berkhoff,et al. Fast affine projections and the regularized modified filtered-error algorithm in multichannel active noise control. , 2008, The Journal of the Acoustical Society of America.
[176] Ganapati Panda,et al. Advances in active noise control: A survey, with emphasis on recent nonlinear techniques , 2013, Signal Process..
[177] Michel Verhaegen,et al. Robustness of the Filtered-X LMS Algorithm— Part II: Robustness Enhancement by Minimal Regularization for Norm Bounded Uncertainty , 2007, IEEE Transactions on Signal Processing.
[178] Akinori Nishihara,et al. Data-reusing-based filtered-reference adaptive algorithms for active control of impulsive noise sources , 2015 .
[179] Philipos C. Loizou,et al. A New Delayless Subband Adaptive Filtering Algorithm for Active Noise Control Systems , 2009, IEEE Transactions on Audio, Speech, and Language Processing.
[180] Sen M. Kuo,et al. Analysis of Frequency Mismatch in Narrowband Active Noise Control , 2010, IEEE Transactions on Audio, Speech, and Language Processing.
[181] Fuyun Ling,et al. Corrections to 'The LMS algorithm with delayed coefficient adaptation' , 1992, IEEE Trans. Signal Process..
[182] M. O. Tokhi,et al. Active noise control systems , 1987 .
[183] Xi Zhang,et al. Online acoustic feedback mitigation with improved noise-reduction performance in active noise control systems , 2013, IET Signal Process..
[184] Yixin Yin,et al. Active control of impulsive noise with symmetric α-stable distribution based on an improved step-size normalized adaptive algorithm , 2015 .
[185] Dennis R. Morgan,et al. Delayless subband active noise control , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[186] Alberto González,et al. Transient Analysis of the Conventional Filtered-x Affine Projection Algorithm for Active Noise Control , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[187] Yu Gong,et al. A robust hybrid feedback active noise cancellation headset , 2005, IEEE Transactions on Speech and Audio Processing.
[188] Dah-Chung Chang,et al. Feedforward Active Noise Control With a New Variable Tap-Length and Step-Size Filtered-X LMS Algorithm , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[189] Jianfeng Guo,et al. Mean-Square Performance of the Modified Filtered-x Affine Projection Algorithm , 2020, Circuits Syst. Signal Process..
[190] C. Fuller,et al. Experiments on reduction of propeller induced interior noise by active control of cylinder vibration , 1987 .
[191] Javad Poshtan,et al. A Computationally Efficient Adaptive IIR Solution to Active Noise and Vibration Control Systems , 2010, IEEE Transactions on Automatic Control.
[192] Issa M. S. Panahi,et al. Analysis and optimal design of delayless subband active noise control systems for broadband noise , 2010, Signal Process..
[193] Xinhui Li,et al. An online secondary path modeling method with regularized step size and self-tuning power scheduling. , 2018, The Journal of the Acoustical Society of America.
[194] Cheng-Chew Lim,et al. Robust Active Noise Control Design by Optimal Weighted Least Squares Approach , 2019, IEEE Transactions on Circuits and Systems I: Regular Papers.
[195] Woon-Seng Gan,et al. Convergence Analysis of Narrowband Active Noise Equalizer System Under Imperfect Secondary Path Estimation , 2009, IEEE Transactions on Audio, Speech, and Language Processing.
[196] S. Veena,et al. Variable step-size Griffiths’ algorithm for improved performance of feedforward/feedback active noise control , 2010, Signal Image Video Process..
[197] O. Kipersztok. Active control of broadband noise using fuzzy logic , 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.
[198] Shiang-Hwua Yu,et al. Controller design for active noise cancellation headphones using experimental raw data , 2001 .
[199] Cheng-Yuan Chang,et al. Complete direct/parallel structure for narrowband active noise control systems , 2013, IET Signal Process..
[200] Tatsuya MURAO,et al. Selective Active Noise Control System for Open Windows using Sound Classification , 2016 .
[201] Tzi-Dar Chiueh,et al. Active cancellation system of acoustic noise in MR imaging , 1999, IEEE Transactions on Biomedical Engineering.
[202] Shahzad Amin Sheikh,et al. Improving performance of FxRLS algorithm for active noise control of impulsive noise , 2017 .
[203] Muhammad Tahir Akhtar,et al. On Active Impulsive Noise Control (AINC) Systems , 2020, Circuits Syst. Signal Process..
[204] Iman Tabatabaei Ardekani,et al. Stochastic modelling and analysis of filtered-x least-mean-square adaptation algorithm , 2013, IET Signal Process..
[205] Jing Wang,et al. A New Feedforward Hybrid Active Noise Control System , 2011, IEEE Signal Processing Letters.
[206] T. Lim,et al. A family of threshold based robust adaptive algorithms for active impulsive noise control , 2015 .
[207] Jonathan D Blotter,et al. Experimental active structural acoustic control of simply supported plates using a weighted sum of spatial gradients. , 2014, The Journal of the Acoustical Society of America.
[208] Yang Lu,et al. Active structural acoustic control of helicopter interior multifrequency noise using input-output-based hybrid control , 2017 .
[209] Cheng-Yuan Chang,et al. Secondary path modeling for narrowband active noise control systems , 2018 .
[210] Eric A. Wan,et al. Adjoint LMS: an efficient alternative to the filtered-x LMS and multiple error LMS algorithms , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[211] Xu Sun,et al. Adaptive algorithm for active control of impulsive noise , 2006 .
[212] Yanyan Wang,et al. Low-complexity non-uniform penalized affine projection algorithms for active noise control , 2017, 2017 25th European Signal Processing Conference (EUSIPCO).
[213] Sang-Kwon Lee,et al. Modified-filtered-u LMS algorithm for active noise control and its application to a short acoustic duct , 2011 .
[214] Tokunbo Ogunfunmi,et al. Convergence Analysis of an Adaptive Algorithm With Output Power Constraints , 2014, IEEE Transactions on Circuits and Systems II: Express Briefs.
[215] Issa M. S. Panahi,et al. Hybrid FxRLS-FxNLMS Adaptive Algorithm for Active Noise Control in fMRI Application , 2011, IEEE Transactions on Control Systems Technology.
[216] Azzedine Zerguine,et al. Filtered-X Least Mean Fourth (FXLMF) and Leaky FXLMF adaptive algorithms , 2016, EURASIP Journal on Advances in Signal Processing.
[217] Robert L. Clark,et al. Optimal placement of piezoelectric actuators and polyvinylidene fluoride error sensors in active structural acoustic control approaches , 1991 .
[218] Boaz Rafaely,et al. H2/H∞ active control of sound in a headrest: design and implementation , 1999, IEEE Trans. Control. Syst. Technol..
[219] Tokunbo Ogunfunmi,et al. A cascaded IIR-FIR adaptive ANC system with output power constraints , 2014, Signal Process..
[220] N. Santhiyakumari,et al. An Active Noise Control System for Impulsive Noise Using Soft Threshold FxLMS Algorithm with Harmonic Mean Step Size , 2019, Wireless Personal Communications.
[221] Scott C. Douglas. Fast implementations of the filtered-X LMS and LMS algorithms for multichannel active noise control , 1999, IEEE Trans. Speech Audio Process..
[222] O. Kipersztok,et al. The use of fuzzy logic in active noise control , 1995, Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society.
[223] João Miguel da Costa Sousa,et al. Fuzzy active noise modeling and control , 2003, Int. J. Approx. Reason..
[224] S. V. Modak,et al. Modal filtered-x LMS algorithm for global active noise control in a vibro-acoustic cavity , 2018 .
[225] Giovanni L. Sicuranza,et al. Analysis of a Multichannel Filtered-x Set-Membership Affine Projection Algorithm , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[226] L. J. Eriksson,et al. II. Recursive Algorithms for Active Noise Control , 1991 .
[227] Yoshinobu Kajikawa,et al. Statistical-mechanical analysis of the FXLMS algorithm for multiple-channel active noise control , 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
[228] Alberto González,et al. The frequency partitioned block modified filtered-x NLMS with orthogonal correction factors for multichannel Active Noise Control , 2015, Digit. Signal Process..
[229] Raja Muhammad Asif Zahoor,et al. A new adaptive strategy to improve online secondary path modeling in active noise control systems using fractional signal processing approach , 2015, Signal Process..
[230] Woon-Seng Gan,et al. Rapid Communication On the use of an SPSA-based model-free feedback controller in active noise control for periodic disturbances in a duct , 2008 .
[231] Issa M. S. Panahi,et al. On maximum achievable noise reduction in ANC systems , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[232] Shing-Chow Chan,et al. Performance Analysis and Design of FxLMS Algorithm in Broadband ANC System With Online Secondary-Path Modeling , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[233] Guohua Sun,et al. Enhanced filtered-x least mean M-estimate algorithm for active impulsive noise control , 2015 .
[234] Luigi Piroddi,et al. A novel cost effective parallel narrowband ANC system with local secondary path estimation , 2017 .
[235] Masayuki Kawamata,et al. A new variable step size LMS algorithm-based method for improved online secondary path modeling in active noise control systems , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[236] Muhammad Tahir Akhtar,et al. Variable step-size based method for acoustic feedback modeling and neutralization in active noise control systems , 2011 .
[237] Nithin V. George,et al. Convex combination of nonlinear adaptive filters for active noise control , 2014 .
[238] Jian Liu,et al. Analysis of Online Secondary-Path Modeling With Auxiliary Noise Scaled by Residual Noise Signal , 2010, IEEE Transactions on Audio, Speech, and Language Processing.
[239] Woon-Seng Gan,et al. Optimal Leak Factor Selection for the Output-Constrained Leaky Filtered-Input Least Mean Square Algorithm , 2019, IEEE Signal Processing Letters.
[240] Giovanni L. Sicuranza,et al. Optimal Regularization Parameter of the Multichannel Filtered- $x$ Affine Projection Algorithm , 2007, IEEE Transactions on Signal Processing.
[241] M.N.S. Swamy,et al. A new adaptive control strategy for hybrid narrowband active noise control systems in a multi-noise environment , 2019, Applied Acoustics.
[242] Masayuki Kawamata,et al. A simplified method for online acoustic feedback path modeling and neutralization in multichannel active noise control systems , 2009, Signal Process..
[243] Muhammad Tahir Akhtar,et al. Improving Performance of Hybrid Active Noise Control Systems for Uncorrelated Narrowband Disturbances , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[244] Iman Tabatabaei Ardekani,et al. Efficient FxLMS algorithm with simplified secondary path models , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[245] PooGyeon Park,et al. A Diffusion Strategy for the Multichannel Active Noise Control System in Distributed Network , 2016, 2016 International Conference on Computational Science and Computational Intelligence (CSCI).
[246] Ming Zhang,et al. An active noise control system using online secondary path modeling with reduced auxiliary noise , 2002 .
[247] Ming Zhang,et al. On comparison of online secondary path modeling methods with auxiliary noise , 2005, IEEE Transactions on Speech and Audio Processing.
[248] Cheng-Yuan Chang,et al. Complete Parallel Narrowband Active Noise Control Systems , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[249] Rodrigo C. de Lamare,et al. Sparsity-inducing modified filtered-x affine projection algorithms for active noise control , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[250] Yann Pasco,et al. Multi-harmonic active structural acoustic control of a helicopter main transmission noise using the principal component analysis , 2009 .
[251] Yarong Li,et al. Active control for vehicle interior noise based on DWT-FxLMS algorithm using a piezoelectric feedback system , 2020 .
[252] Woon-Seng Gan,et al. Stochastic analysis of FXLMS-based internal model control feedback active noise control systems , 2014, Signal Process..
[253] Peng Li,et al. Active noise cancellation algorithms for impulsive noise. , 2013, Mechanical systems and signal processing.
[254] J. H. Park,et al. A novel adaptive algorithm with an IIR filter and a variable step size for active noise control in a short duct , 2012 .
[255] J. Bermudez,et al. Non-Wiener behavior of the filtered LMS algorithm , 1999 .
[256] Sen M. Kuo,et al. Active Narrowband Noise Control Systems Using Cascading Adaptive Filters , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[257] Chris R. Fuller,et al. Active control of interior noise in a business jet using piezoceramic actuators , 1994 .
[258] Dongyuan Shi,et al. Using empirical wavelet transform to speed up selective filtered active noise control system. , 2020, The Journal of the Acoustical Society of America.
[259] Shuming Chen,et al. A modified adaptive weight-constrained FxLMS algorithm for feedforward active noise control systems , 2020 .
[260] Rui Seara,et al. On the stochastic modeling of FxLMS-based narrowband active noise equalization systems , 2015, Signal Process..
[261] W. Mitsuhashi,et al. Improving robustness of filtered-x least mean p-power algorithm for active attenuation of standard symmetric-α-stable impulsive noise , 2011 .
[262] Stefano Gaiotto,et al. A Tuning-Less Approach in Secondary Path Modeling in Active Noise Control Systems , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[263] Martin Bouchard,et al. Multichannel recursive-least-square algorithms and fast-transversal-filter algorithms for active noise control and sound reproduction systems , 2000, IEEE Trans. Speech Audio Process..
[264] Alberto González,et al. GPU Implementation of Multichannel Adaptive Algorithms for Local Active Noise Control , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[265] Sen M. Kuo,et al. A secondary path modeling technique for active noise control systems , 1997, IEEE Trans. Speech Audio Process..
[266] Zarko Zecevic,et al. Frequency-domain adaptive algorithm for improving the active noise control performance , 2015, IET Signal Process..
[267] Y. J. Chu,et al. A new regularized subband ANC algorithm with online secondary-path modeling: Performance analysis and application to buildings , 2015 .
[268] Xiaojun Qiu,et al. A recursive least square algorithm for active control of mixed noise , 2015 .
[269] W. Mitsuhashi,et al. Improving performance of FxLMS algorithm for active noise control of impulsive noise , 2009 .
[270] L. Piroddi,et al. Active noise control with on-line estimation of non-Gaussian noise characteristics , 2012 .
[271] Muhammad Tahir Akhtar,et al. Binormalized data-reusing adaptive filtering algorithm for active control of impulsive sources , 2016, Digit. Signal Process..
[272] Muhammad Tahir Akhtar,et al. A two adaptive filters-based method for reducing effects of acoustic feedback in single-channel feedforward ANC systems , 2019, Digit. Signal Process..
[273] Woon-Seng Gan,et al. Two-gradient direction FXLMS: An adaptive active noise control algorithm with output constraint , 2019, Mechanical Systems and Signal Processing.
[274] Larry J. Eriksson,et al. The selection and application of an IIR adaptive filter for use in active sound attenuation , 1987, IEEE Trans. Acoust. Speech Signal Process..