期刊文献+

一种用于立体声声学回波消除的新型鲁棒梯度法格梯形自适应滤波算法 被引量:4

A new robust gradient lattice ladder adaptive filtering algorithm for stereophonic acoustic echo cancellation
下载PDF
导出
摘要 立体声声学回波消除的梯度法格梯形算法对脉冲干扰不具鲁棒性。针对这个问题,引入了鲁棒M-估计方法,并从理论上予以了论证。由此产生的双通道M-估计梯度法格梯形算法具有显著提升的抗脉冲干扰鲁棒稳定性,从而也具有了更高的实际应用价值。 This paper proposes a new robust adaptive filtering algorithm for stereophonic acoustic echo cancellation in the environment where impulsive noise presents. Based on the two channel gradient lattice ladder algorithm which is fast and computationally efficient, the new algorithm employs M-estimate technique, with which a scheme for combating impulsive interference is developed and proved effective. Compared to the prototype algorithm, the resultant new algorithm is more robust to the impulsive noise corrupting the desired signal at the near-end and the input signal at the far-end. Experiments are also conducted to verify the efficiency of the new algorithm.
出处 《声学学报》 EI CSCD 北大核心 2010年第2期223-229,共7页 Acta Acustica
关键词 声学回波消除 鲁棒性 立体声 种用 脉冲干扰 梯形算法 鲁棒稳定性 估计方法 Adaptive filtering Adaptive filters Echo suppression Impulse noise
  • 相关文献

参考文献15

  • 1Sondhi M M, Morgan D R, Hall J L. Stereophonic acoustic echo cancellation-an overview of the fundamental problem. IEEE Signal Processing letters, 1995; 2(8): 148-151.
  • 2Benesty J, Morgan D R, Sondhi M M. A better understanding and an improved solution to the specific problems of stereophonic acoustic echo cancellation, IEEE Trans. Signal Processing, 1998; 6(2): 156-165.
  • 3Gansler T, Benesty J. New insights into the stereophonic acoustic echo cancellation problem and an adaptive non- linearity solution, IEEE Trans. Signal Processing, 2002; 10(5): 257-267.
  • 4Khong A W H, Naylor P A. Stereophonic acoustic echo cancellation employing selective-tap adaptive algorithms, IEEE Trans. Audio, Speech, and Language Processing, 2006; 14(3): 785-796.
  • 5Rao H, Farhang-Boroujeny B. Fast LMS/Newton algorithms for stereophonic acoustic echo cancellation, IEEE Trans. Signal Processing, 2009; 57(8): 2919-2930.
  • 6Tukey J W. A survey of sampling from contaminated distributions in contributions to probability and statistics: I. Olkin, Ed. Stanford University Press, 1960.
  • 7Huber P J. Robust statistics. NY: John Wiley, 1981.
  • 8Haykin S. Adaptive filter theory. 4th ed., Prentice Hall, 2001.
  • 9Mayyas K. Stereophonic acoustic echo cancellation using lattice orthogonalization, IEEE Trans. Speech and Audio Processing, 2002; 10(7): 517-525.
  • 10Zou Y, Chan S C, Ng T S. Least mean M-estimate algorithms for robust adaptive filtering in impulsive noise, IEEE Trans. Circuits Syst. II, 2000; 47(12): 1564 1569.

同被引文献31

  • 1路阳,程晓斌,李晓东,田静.结合房间声学特点的子带自适应滤波声学回音抵消算法[J].电声技术,2006,30(8):54-56. 被引量:1
  • 2朱幼莲,鲁有宏,史国栋.通信系统中自适应回波抵消的一种新方法[J].通信学报,2007,28(5):67-72. 被引量:1
  • 3Koike S. Adaptive threshold nonlinear algorithm for adaptive filters with robustness against impulsive noise[J].{H}IEEE Transactions on Signal Processing,1997,(09):2391-2395.
  • 4Y.Zou,S.C Chan,T S Ng. A robust M-estimate adaptive filter for impulse noise suppression[A].1999.1765-1768.
  • 5R.Settineri,M.Najim,D Ottaviani. Order statistic fast Kalman filter[A].1996.116-119.
  • 6S.Koile. Adaptive threshold nonlinear algorithm for adaptive filters with robustness against impulsive noise[A].1996.1644-1647.
  • 7Sun X,Kuo S M,Meng G. Adaptive algorithm for active control of impulsive noise[J].{H}Journal of Sound and Vibration,2006,(1-2):516-522.
  • 8Akhtar M T,Mitsuhashi W. Improving performance of Fx LMS algorithm for active noise control of impulsive noise[J].{H}Journal of Sound and Vibration,2009,(3-5):647-656.
  • 9Y.Zou,S.C Chan,T S Ng. Least mean M-estimate algorithms for robust adaptive filtering in impulsive noise[J].{H}IEEE Transactions on Circuits and Systems-II:Analog and Digital Signal Processing,2000,(12):1564-1569.
  • 10P.Petrus. Robust huber adaptive filter[J].{H}IEEE Transactions on Signal Processing,1999,(04):1129-1133.

引证文献4

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部