Open Access
Issue
MATEC Web Conf.
Volume 95, 2017
2016 the 3rd International Conference on Mechatronics and Mechanical Engineering (ICMME 2016)
Article Number 14006
Number of page(s) 6
Section Electronic Technology and Application
DOI https://doi.org/10.1051/matecconf/20179514006
Published online 09 February 2017
  1. Sen M. Kuo and Dennis R. Morgan, Active noise control systems: Algorithms and DSP implementations, John Wiley & Sons, Inc., New York, (1996). [Google Scholar]
  2. P. A. Nelson and S. J. Elliott, Active Control of Sound. Academic Press, London, (1992). [Google Scholar]
  3. S. J. Elliott, Signal Processing for Active Control. Academic Press, New York, (2001). [Google Scholar]
  4. W. S. Gan, S. Mitra and S. M. Kuo “Adaptive Feedback Active Noise Control Headset: Implementation, Evaluation and Its Extensions” IEEE Transactions on Consumer Electronics, 51(3), pp. 975–982, (August 2005). [CrossRef] [Google Scholar]
  5. Sen M. Kuo, S. Mitra and W. S. Gan, “Active Noise Control System for Headphone Applications” IEEE Transactions on Control Systems Technology, 14(2), pp. 331–335, (March 2006). [CrossRef] [Google Scholar]
  6. C. Y. Chang “Efficient Active Noise Controller using a Fixed-point DSP” Elsevier Signal Processing, 89, pp 843–850, (2008). [CrossRef] [Google Scholar]
  7. L. J. Eriksson and M. A. Allie, “Use of random noise for online transducer estimate in an adaptive active attenuation system,“ Journal of Acoustical. Society of America, 85, pp. 797–802, (1989). [CrossRef] [Google Scholar]
  8. M. Zhang, H. Lan, and W. Ser “Cross-Updated Active Noise Control System with Online Secondary Path Modeling” IEEE Transactions on Speech and Audio Processing, 9(5), pp. 598–602, (July 2001). [CrossRef] [Google Scholar]
  9. M. T. Akhtar, M. Abe and M. Kawamata “A New Variable Step Size LMS Algorithm-Based Method for Improved Online Secondary Path Modeling in Active Noise Control Systems” IEEE Transactions On Audio, Speech, and Language Processing, 14(2), pp. 720–726, (March 2006). [CrossRef] [Google Scholar]
  10. D. Zhou, V. DeBrunner, “Efficient adaptive nonlinear filters for nonlinear active noise control, IEEE Transaction on Circuits and Systems I, 54(3), pp. 669–681, (March 2007). [CrossRef] [Google Scholar]
  11. P. Davari and H. Hassanpour “Designing a New Robust On-Line Secondary Path Modeling Technique for Feedforward Active Noise Control Systems” Elsevier Signal Processing, 89, pp 1195–1204, (2009). [CrossRef] [Google Scholar]
  12. H. Hassanpour and P. Davari “An efficient online secondary path estimation for feedback active noise control systems” Elsevier Digital Signal Processing, 19, pp. 241–249. (2009). [CrossRef] [Google Scholar]
  13. I. T. Ardekani and W. H. Abdulla “On the convergence of real-time active noise control systems” Elsevier Journal on Signal Proceesing, in Press, pp. 1–13. (2010). [Google Scholar]
  14. E. Bjarnason “Analysis of the filtered-x LMS algorithm” IEEE Transactions on Speech and Audio Processing, 3(6), pp. 504–514, (Nov 1995). [CrossRef] [Google Scholar]
  15. L. Vicente and E. Masgrau “Novel FxLMS convergence condition with deterministic reference” IEEE Transactions on Signal Processing, 54(10), pp. 3768–3774, (Oct. 2006). [CrossRef] [Google Scholar]
  16. Y. Xiao, A. Ikuta, L. Ma and K. Khorasani “Stochastic analysis of the FXLMS-based narrowband active noise control system” IEEE Transactions on Audio, Speech and Language Processing, 16(5), pp. 1000–1014, (July 2008). [CrossRef] [Google Scholar]
  17. I. Tabatabaei Ardekani and W. Abdulla “Theoretical convergence analysis of FxLMS algorithm” Signal Processing, 90(12), pp. 3046–3055, (2010). [CrossRef] [Google Scholar]
  18. B. Widrow, J. R. Glover, J. M. McCool, J. Kaunitz, C. S. Williams, R. H. Hern, J. R. Zeidler, E. Dong and R. C. Goodlin, “Adaptive Noise Cancelling: Principles and Applications” Proceeding IEEE, 63, pp. 1692–1716, (Dec 1975). [CrossRef] [Google Scholar]
  19. S. Haykin, Adaptive Filter Theory, 4th ed., Prentice-Hall, New Jersey. (2002). [Google Scholar]
  20. R. Mustafa and M. A. Mohd Ali, “Fast and Efficient Least Mean Square Algorithm for Active Noise Control System Identification” Acoustical Letter, Acoust. Sci. & Tech. 33(2), pp. 111–112, (2012). [CrossRef] [Google Scholar]

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