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自适应抗噪声送话器的算法研究 被引量:2

Algorithm Research of Adaptive Anti-noise Telephone Transmitter
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摘要 介绍了一种改进后的LMS算法(weightedsum),使自适应滤波器权值更新的步长随着系统输出信号功率的变化而变化。在效果评价时提出了计算语音信号信噪比提高量的一个简单方法,即通过控制前后语音间隙的噪声能量的对比得出结果。 In this paper the improved LMS algorithm (weighted sum) is introduced, which enables the stepwidth of regeneration of adaptive filter weighted value to change along with the variationof output signal power of the system. When estimating the effect a simple method, i.e. controlling thecomparison of noise energy of two voice gaps, which can be used to calculate SNR increase of speechsignal, is presented.
作者 倪志明 田静
出处 《电声技术》 EI 北大核心 2000年第2期13-17,共5页 Audio Engineering
关键词 自适应滤波 自适应噪声抵消 LMS算法 送话器 adaptive filter adaptive noise cancellation LMS algorithm speech noise Coherence
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参考文献2

  • 1S.C.Douglas et al.Normalized Data Nonlinearitiesfor LMS Adaptation[].IEEE Transactions on Signal Processing.1994
  • 2J.E.Greenberg et al.Modified LMS Algorithms ForSpeech Processing With An Adaptive Noise Canceller[].IEEE Transactions on Speech and Audio Processing.1998

同被引文献5

  • 1Arenas Garcia, Figueiras Vidal. Improved blind equalizationvia a- daptive combination of constant modulus algorithms [ C ]. IC- ASSP, 2006 : 756 - 759.
  • 2Zhang Y, Chambers J. Convex combination of adaptive filters for a variable tap-length LMS algorithm [ J]. IEEE Signal processing letters,2006,10 ( 13 ) :628 - 631.
  • 3Silva M T M, Nascimento V. H. Improving the tracking capability of adaptive filters via convex combination [ J ]. IEEE Transaction on Signal processing, 2006 56(7) :3137 -3149.
  • 4Abdollahy A, Geravanchizadeh M. Speech enhancement using combinational adaptive filtering [ C ]. International Symposium on Telecommunications, 2008:27 -28.
  • 5Yoo S. Speech Decomposition and Enhancement[ D]. Department of Electrical and Computer Engineering, University of Pittsburgh, PhD Dissertation, 2005.

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