Advances in active noise control: A survey, with emphasis on recent nonlinear techniques
暂无分享,去创建一个
[1] Raja Kamil,et al. Comparison of Performance and Computational Complexity of Nonlinear Active Noise Control Algorithms , 2011 .
[2] C.-Y. Chang,et al. Active Noise Cancellation Without Secondary Path Identification by Using an Adaptive Genetic Algorithm , 2010, IEEE Transactions on Instrumentation and Measurement.
[3] Miguel Ferrer,et al. Multichannel active noise control system for local spectral reshaping of multifrequency noise , 2004 .
[4] Ming Zhang,et al. A weight-constrained FxLMS algorithm for feedforward active noise control systems , 2002, IEEE Signal Process. Lett..
[5] Xiangping Zeng,et al. Adaptive Extended Pipelined Second-Order Volterra Filter for Nonlinear Active Noise Controller , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[6] J. Burgess. Active adaptive sound control in a duct: A computer simulation , 1981 .
[7] Jong Boo Kim,et al. Genetic adaptive IIR filtering algorithm for active noise control , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).
[8] Robert W. Stewart,et al. Adaptive IIR filtered-v algorithms for active noise control , 1997 .
[9] Elias Bjarnason. Analysis of the filtered-X LMS algorithm , 1995, IEEE Trans. Speech Audio Process..
[10] Jing Na,et al. Adaptive nonlinear neuro-controller with an integrated evaluation algorithm for nonlinear active noise systems , 2010 .
[11] H. Olson. Electronic Sound Absorber , 1953 .
[12] W. Mitsuhashi,et al. Improving performance of FxLMS algorithm for active noise control of impulsive noise , 2009 .
[13] L. Piroddi,et al. Active noise control with on-line estimation of non-Gaussian noise characteristics , 2012 .
[14] Shigeki Miyoshi,et al. Statistical-mechanics approach to the filtered-X LMS algorithm , 2011 .
[15] Riyanto T. Bambang. Adjoint EKF learning in recurrent neural networks for nonlinear active noise control , 2008, Appl. Soft Comput..
[16] Ganapati Panda,et al. Identification of nonlinear dynamic systems using functional link artificial neural networks , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[17] H. G. Leventhall,et al. An experimental study of swinbanks' method of active attenuation of sound in ducts , 1976 .
[18] 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.
[19] William B. Conover,et al. Fighting Noise with Noise , 1956 .
[20] Debi Prasad Das,et al. Fast exact multichannel FSLMS algorithm for active noise control , 2009, Signal Process..
[21] Martin Bouchard. Multichannel affine and fast affine projection algorithms for active noise control and acoustic equalization systems , 2003, IEEE Trans. Speech Audio Process..
[22] Goutam Chakraborty,et al. Development of Laguerre Neural-Network-Based Intelligent Sensors for Wireless Sensor Networks , 2011, IEEE Transactions on Instrumentation and Measurement.
[23] Martin Bouchard,et al. Computational load reduction of fast convergence algorithms for multichannel active noise control , 2003, Signal Process..
[24] Wei Ren,et al. Convergence analysis of the filtered-U algorithm for active noise control , 1999, Signal Process..
[25] 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.
[26] Dennis R. Morgan,et al. An analysis of multiple correlation cancellation loops with a filter in the auxiliary path , 1980, ICASSP.
[27] Fu-Kun Chen,et al. Saturation effects in active noise control systems , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.
[28] Giovanni L. Sicuranza,et al. Filtered-X affine projection algorithm for multichannel active noise control using second-order Volterra filters , 2004, IEEE Signal Processing Letters.
[29] Sen M. Kuo,et al. Principle and application of adaptive noise equalizer , 1994 .
[30] Masayuki Kawamata,et al. A new structure for feedforward active noise control systems with improved online secondary path modeling , 2005, IEEE Transactions on Speech and Audio Processing.
[31] Aurobinda Routray,et al. Filtered-s LMS algorithm for multichannel active control of nonlinear noise processes , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[32] Sen M. Kuo,et al. Active Noise Control Systems: Algorithms and DSP Implementations , 1996 .
[33] Cheng-Yuan Chang,et al. Enhancement of active noise control using neural-based filtered-X algorithm , 2007 .
[34] Ganapati Panda,et al. A robust evolutionary feedforward active noise control system using Wilcoxon norm and particle swarm optimization algorithm , 2012, Expert Syst. Appl..
[35] Woon-Seng Gan,et al. Analysis and DSP implementation of an ANC system using a filtered-error neural network , 2005 .
[36] 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.
[37] Masayuki Kawamata,et al. Online secondary path modeling in multichannel active noise control systems using variable step size , 2008, Signal Process..
[38] Alex ChiChung Kot,et al. Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks , 2002, IEEE Trans. Syst. Man Cybern. Part B.
[39] Ganapati Panda,et al. Active control of nonlinear noise processes using cascaded adaptive nonlinear filter , 2013 .
[40] 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.
[41] Panajotis Agathoklis,et al. Adaptive IIR filtering algorithms for system identification: a general framework , 1995 .
[42] Ganapati Panda,et al. Active mitigation of nonlinear noise Processes using a novel filtered-s LMS algorithm , 2004, IEEE Transactions on Speech and Audio Processing.
[43] Sen M. Kuo,et al. Active Noise Control , 2008 .
[44] Yoh-Han Pao,et al. Adaptive pattern recognition and neural networks , 1989 .
[45] Giovanni L. Sicuranza,et al. Optimal Regularization Parameter of the Multichannel Filtered- $x$ Affine Projection Algorithm , 2007, IEEE Transactions on Signal Processing.
[46] Giovanni L. Sicuranza,et al. Accuracy and Performance Evaluation in the Genetic Optimization of Nonlinear Systems for Active Noise Control , 2007, IEEE Transactions on Instrumentation and Measurement.
[47] Tomasz Krukowicz,et al. Active Noise Control Algorithm Based on a Neural Network and Nonlinear Input-Output System Identification Model , 2010 .
[48] Sen M. Kuo,et al. Residual noise shaping technique for active noise control systems , 1994 .
[49] Sang-Kwon Lee,et al. Modified-filtered-u LMS algorithm for active noise control and its application to a short acoustic duct , 2011 .
[50] H. Itoh,et al. Active noise control by using prediction of time series data with a neural network , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.
[51] Jean Jiang,et al. Filtered-X second-order Volterra adaptive algorithms , 1997 .
[52] Debi Prasad Das,et al. Adjoint nonlinear active noise control algorithm for virtual microphone , 2012 .
[53] William B. Conover,et al. Recent Contributions to Transformer Audible Noise Control [includes discussion] , 1955, Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems.
[54] L. J. Eriksson,et al. Use of random noise for on‐line transducer modeling in an adaptive active attenuation system , 1986 .
[55] K. Shyu,et al. Active noise cancellation with a fuzzy adaptive filtered-X algorithm , 2003 .
[56] 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..
[57] Cheng-Yuan Chang. Efficient active noise controller using a fixed-point DSP , 2009, Signal Process..
[58] Ganapati Panda,et al. New block filtered-X LMS algorithms for active noise control systems , 2007 .
[59] Hamidrez Modares,et al. A PSO approach for non-linear active noise cancellation , 2006 .
[60] Liu Xia,et al. Adaptive noise canceller based on PSO algorithm , 2008, 2008 IEEE International Conference on Automation and Logistics.
[61] M. O. Tokhi,et al. Active noise control systems , 1987 .
[62] Ganapati Panda,et al. A robust filtered-s LMS algorithm for nonlinear active noise control , 2012 .
[63] Nasser N Peyghambarian,et al. CMOS switched capacitor liquid crystal driver , 2006 .
[64] Ganapati Panda,et al. On the development of adaptive hybrid active noise control system for effective mitigation of nonlinear noise , 2012, Signal Process..
[65] Lifu Wu,et al. An Active Impulsive Noise Control Algorithm With Logarithmic Transformation , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[66] Rui Seara,et al. Mean weight behavior of the Filtered-X LMS algorithm , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[67] Li Xiangyang,et al. A novel self-optimizing approach for knowledge acquisition , 2000 .
[68] Goutam Chakraborty,et al. Nonlinear channel equalization for wireless communication systems using Legendre neural networks , 2009, Signal Process..
[69] R. Leahy,et al. Adaptive filtering of stable processes for active attenuation of impulsive noise , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[70] Yin Shi,et al. RBF networks trained by genetic algorithm appiled in active control of noise and vibration , 2004 .
[71] C. L. Nikias,et al. Signal processing with fractional lower order moments: stable processes and their applications , 1993, Proc. IEEE.
[72] 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..
[73] José Carlos M. Bermudez,et al. Stochastic analysis of the filtered-X LMS algorithm in systems with nonlinear secondary paths , 2002, IEEE Trans. Signal Process..
[74] G. L. Sicuranza,et al. A Generalized FLANN Filter for Nonlinear Active Noise Control , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[75] J. Shynk. Adaptive IIR filtering , 1989, IEEE ASSP Magazine.
[76] Li Tan,et al. Adaptive Volterra filters for active control of nonlinear noise processes , 2001, IEEE Trans. Signal Process..
[77] G. Mangiante,et al. Active sound absorbers in an air duct , 1972 .
[78] Yuriy V. Zakharov,et al. Pseudo-Affine Projection Algorithms for Multichannel Active Noise Control , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[79] G. Canevet. Active sound absorption in an air conditioning duct , 1978 .
[80] Hideki Kasuya,et al. Application of a Least Squares Lattice Algorithm to Active Noise Control for an Automobile , 1997 .
[81] Giovanni L. Sicuranza,et al. Analysis of Transient and Steady-State Behavior of a Multichannel Filtered-x Partial-Error Affine Projection Algorithm , 2007, EURASIP J. Audio Speech Music. Process..
[82] Xu Sun,et al. Steiglitz-Mcbride type adaptive IIR algorithm for active noise control , 2004 .
[83] D.-S. Chen,et al. A new infinite impulse response filter-based adaptive algorithm for active noise control , 2002 .
[84] Ming Zhang,et al. Cross-updated active noise control system with online secondary path modeling , 2001, IEEE Trans. Speech Audio Process..
[85] 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..
[86] Dayong Zhou,et al. Efficient Adaptive Nonlinear Filters for Nonlinear Active Noise Control , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.
[87] Martin Bouchard,et al. New recursive-least-squares algorithms for nonlinear active control of sound and vibration using neural networks , 2001, IEEE Trans. Neural Networks.
[88] Felix Albu. Efficient multichannel filtered-x affine projection algorithm for active noise control , 2006 .
[89] J C Patra,et al. Chebyshev Neural Network-Based Model for Dual-Junction Solar Cells , 2011, IEEE Transactions on Energy Conversion.
[90] M. O. Tokhi,et al. Active noise control using radial basis function networks , 1997 .
[91] 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.
[92] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[93] A. Balakrishnan,et al. The Noise‐Cancelling Headset—An Active Ear Defender , 1955 .
[94] Sen M. Kuo,et al. Active noise control: a tutorial review , 1999, Proc. IEEE.
[95] Labena Tagel. Convex Combination of Adaptive Linear Finite Impulse Response and Nonlinear Volterra Filters for Acoustic Echo Cancellation , 2011 .
[96] Luigi Piroddi,et al. Nonlinear Active Noise Control With NARX Models , 2010, IEEE Transactions on Audio, Speech, and Language Processing.
[97] 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 .
[98] Iman Tabatabaei Ardekani,et al. On the convergence of real-time active noise control systems , 2011, Signal Process..
[99] Scott D. Snyder,et al. Active control of vibration using a neural network , 1995, IEEE Trans. Neural Networks.
[100] G. Panda,et al. A reduced complexity adaptive legendre neural network for nonlinear active noise control , 2012, 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP).
[101] Debi Prasad Das,et al. Fast Adaptive Algorithms for Active Control of Nonlinear Noise Processes , 2008, IEEE Transactions on Signal Processing.
[102] Ali H. Sayed,et al. Mean-square performance of a convex combination of two adaptive filters , 2006, IEEE Transactions on Signal Processing.
[103] Alain Berry,et al. Accelerating the convergence of the filtered-x lms algorithm through transform-domain optimisation , 1995 .
[104] Ming Zhang,et al. A robust online secondary path modeling method with auxiliary noise power scheduling strategy and norm constraint manipulation , 2003, IEEE Trans. Speech Audio Process..
[105] In-Soo Kim,et al. CONSTRAINT FILTERED-X AND FILTERED-U LEAST-MEAN-SQUARE ALGORITHMS FOR THE ACTIVE CONTROL OF NOISE IN DUCTS , 1994 .
[106] Issa M. S. Panahi,et al. A novel feedforward active noise control structure with spectrum-tuning for residual noise , 2010, IEEE Transactions on Consumer Electronics.
[107] 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..
[108] Zhang Pu-zhen. Active noise control using a simplified fuzzy neural network , 2007 .
[109] Chunhua Shen,et al. Lattice form adaptive infinite impulse response filtering algorithm for active noise control. , 2003, Journal of the Acoustical Society of America.
[110] Sen M. Kuo,et al. Nonlinear adaptive bilinear filters for active noise control systems , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.
[111] Martin Bouchard,et al. Improved training of neural networks for the nonlinear active control of sound and vibration , 1999, IEEE Trans. Neural Networks.
[112] Iman Tabatabaei Ardekani,et al. Theoretical convergence analysis of FxLMS algorithm , 2010, Signal Process..
[113] S D Sommerfeldt,et al. Incorporation of loudness measures in active noise control. , 2001, The Journal of the Acoustical Society of America.
[114] Alberto González,et al. Fast Affine Projection Algorithms for Filtered-x Multichannel Active Noise Control , 2008, IEEE Transactions on Audio, Speech, and Language Processing.
[115] S.M. Kuo,et al. Broadband adaptive noise equalizer , 1996, IEEE Signal Processing Letters.
[116] W. Gan,et al. Adaptive recurrent fuzzy neural networks for active noise control , 2006 .
[117] Giovanni L. Sicuranza,et al. Filtered-X Affine Projection Algorithms for Active Noise Control Using Volterra Filters , 2004, EURASIP J. Adv. Signal Process..
[118] L. Eriksson. Development of the filtered‐U algorithm for active noise control , 1990 .
[119] Alberto González,et al. Multichannel active noise equalization of interior noise , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[120] G. Sicuranza,et al. On the Accuracy of Generalized Hammerstein Models for Nonlinear Active Noise Control , 2006, 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings.
[121] S.J. Elliott,et al. Active noise control , 1993, IEEE Signal Processing Magazine.
[122] Martin Bouchard. Numerically stable fast convergence least-squares algorithms for multichannel active sound cancellation systems and sound deconvolution systems , 2002, Signal Process..
[123] 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.
[124] L. NettoS.,et al. Adaptive IIR filtering algorithms for system identification , 1995 .
[125] 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..
[126] Stephen J. Elliott,et al. The behavior of a multiple channel active control system , 1992, IEEE Trans. Signal Process..
[127] Futoshi Asano,et al. Detection and Separation of Speech Events in Meeting Recordings Using a Microphone Array , 2007, EURASIP J. Audio Speech Music. Process..
[128] Debi Prasad Das,et al. Block filtered-s least mean square algorithm for active control of non-linear noise systems , 2010 .
[129] Ganapati Panda,et al. Particle Swarm Optimization Based Active Noise Control Algorithm Without Secondary Path Identification , 2012, IEEE Transactions on Instrumentation and Measurement.
[130] M. A. Swinbanks. The active control of sound propagation in long ducts , 1973 .
[131] Paul Strauch,et al. Active control of nonlinear noise processes in a linear duct , 1998, IEEE Trans. Signal Process..
[132] Giovanni L. Sicuranza,et al. On the BIBO Stability Condition of Adaptive Recursive FLANN Filters With Application to Nonlinear Active Noise Control , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[133] Iman Tabatabaei Ardekani,et al. Effects of Imperfect Secondary Path Modeling on Adaptive Active Noise Control Systems , 2012, IEEE Transactions on Control Systems Technology.
[134] Sen M. Kuo,et al. Development and analysis of an adaptive noise equalizer , 1995, IEEE Trans. Speech Audio Process..
[135] Martin Bouchard,et al. A transform domain optimization to increase the convergence speed of the multichannel filtered‐X least‐mean‐square algorithm , 1996 .
[136] Ganapati Panda,et al. A Particle-Swarm-Optimization-Based Decentralized Nonlinear Active Noise Control System , 2012, IEEE Transactions on Instrumentation and Measurement.
[137] N. George,et al. Development of low complexity evolutionary computing based nonlinear active noise control systems , 2011, 2011 International Conference on Energy, Automation and Signal.
[138] Xiangping Zeng,et al. Adaptive reduced feedback FLNN filter for active control of nonlinear noise processes , 2010, Signal Process..
[139] S. Thomas Alexander,et al. Adaptive Signal Processing , 1986, Texts and Monographs in Computer Science.