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一种混合稀疏置零的自适应声回波对消算法 被引量：5

A Hybrid Sparse Kill-Weights Adaptive Filtering Algorithm for Acoustic Echo Cancellation
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摘要 对稀疏路径的自适应声回波对消算法进行了讨论,提出一种稀疏置零归一化解相关LMS自适应滤波算法(简称SSKNDLMS).该算法综合了稀疏算法,置零算法及归一化解相关算法的优点,在增加少量计算量的情况下,其收敛速度和稳态失配比常用的LMS算法都有明显的改善.计算机仿真证实了这一结果. A hybrid sparse kill-weights adaptive filtering algorithm is proposed. This algorithm incorporates the advantages of the sparse algorithm, kill-weights algorithm and NDLMS algorithm. As a result, the improved algorithm demonstrates, at a little cost of computation load, a better performance both in convergence rate and misalignment than normal LMS algorithm in acoustic echo cancellation. The computer simulation resuits confirm the effectiveness of this algorithm.
作者 孙永国 何培宇 邓方
机构地区 四川大学电子信息学院
出处 《四川大学学报（自然科学版）》 CAS CSCD 北大核心 2006年第2期330-333,共4页 Journal of Sichuan University(Natural Science Edition)
基金 国家自然科学基金(60472096)
关键词 稀疏 置零 解相关 自适应声回波对消 sparse kill-weights decorrelating adaptive acoustic echo cancellation
分类号 TP202.7 [自动化与计算机技术—检测技术与自动化装置]
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参考文献3

  • 1Richard K,Martin W A,Sethares R C,et al.Exploiting sparsity in adaptive filters[J].IEEE.Trans.Signal Processing,2002,50:1883.
  • 2Wang Yongde,Wang Jun,He Peiyu.A new algorithm for adaptive multiple echo cancellation kill-weights with zero value algorithm[R].Beijing:ICSP'96,1996,1515.
  • 3Benesty J,Yiteng Huang.The LMS,PNLMS,and exponentiated gradient algorithms[C].Austria:European Signal Processing Conf,Vienna,2004.

同被引文献36

  • 1李少伟,裴承鸣,钟雄虎,王华朋.一种改进的变步长仿射投影算法[J].计算机仿真,2006,23(10):69-71. 被引量：3
  • 2Duttweiler D L.Proportinnate normalized least-mean-squares adaptation in echo cancellers[J].IEEE Trans Speech Audio Process,2000,8(5) :508-518.
  • 3Deng Hongyang, Doroslovacki M.Improving convergence of the PNLMS algorithm for sparse impulse response identification[J]. IEEE Signal Processing Letters,2005,12(3) : 181-184.
  • 4Liu Ligang.On improvement of proportionate adaptive algorithms for sparse impulse response[D].Kochi,Japan:Kochi University of Technology,2009.
  • 5Dogancay K, Tannkulu O.Adaptive filtering algorithms with selective partial update[J].IEEE Transactions on Circuits and Systems-II:Analog and Digital Signal Processing,2001,48(8) : 762-769.
  • 6Hwang Kyu-Young, Song Woo-Jin.An affme projection adaptive filtering algorithm with selective regressors[J].IEEE Transactions on Circuits and Systems-II: Express Briefs, 2007,54 ( 1 ) : 43-46.
  • 7Pitas I.Fast algorithms for running ordering and max/min ealeulation[J].IEEE Trans on Circuits and Systems, 1989, 36(6): 795-804.
  • 8D L Duttweiler. Proportionate normalized least-mean-squares adaptation in echo cancellers [ J ]. IEEE Trans. Speech Audio Process. , 2000,8 (5) :508-518.
  • 9Hongyang Deng, Milo's Doroslovavcki. Improving Convergence of the PNLMS Algorithm for Sparse Impulse Response Identification [ J ]. IEEE Signal Processing Letters, 2005,12 ( 3 ) : 181 - 184.
  • 10Kirill Sakhnov. An improved proportionate affine projection algorithm for network echo cancellation[ C ]. Systems, Signals and Image Processing, 2008.125-128.

引证文献5

二级引证文献7

四川大学学报（自然科学版）
2006年 第2期

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