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反正切函数联合参数的凸组合最小均方滤波算法 被引量：1

Convex combination of least mean square algorithm based on arc-tangent function
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摘要 为解决传统最小均方自适应滤波算法联合参数λ(n)运算量大、收敛速度慢的问题,提出一种基于修正的反正切函数的凸组合最小均方滤波算法,并应用Matlab软件对不同信噪比算法进行仿真比较。结果表明:该算法在保证运算量的前提下,能够加快算法的收敛速度及减小其稳态误差。反正切函数联合参数的凸组合最小均方滤波算法具有更好的滤波性能。 Aimed at a solution to complex computation and poor convergence performance of the convex parametric of λ（n） in the least-mean-square（LMS） algorithm,this paper proposes a new CLMS algorithm based on improved arc-tangent function and introduces simulation comparison of algorithms with different SNR by using MATLAB math software.The simulation indicates that this new algorithm,able to quicken the convergence and reduce steady state error,along with assuring less computation,demonstrates a better filtering performance.
作者 谢子殿 董志国 崔师明
机构地区 黑龙江科技学院电气与信息工程学院
出处 《黑龙江科技学院学报》 CAS 2012年第6期608-612,共5页 Journal of Heilongjiang Institute of Science and Technology
关键词 凸组合 自适应滤波 反正切函数 convex combination adaptive filter arc-tangent function
分类号 TN713 [电子电信—电路与系统]
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  • 1Lopes W B, Lopes C G. Incremental Combination of RLS and LMS Adaptive Filters in Non-stationary See- narios[C]// International Conference on Acoustics,Speech and Signal Processing (ICASSP). 2013: 5676- 5680.
  • 2Yun Tan,Zhiqiang He, Baoyu Tian. A Novel Gener- alization of Modified LMS Algorithm to Fractional order[J]. IEEE Signal Processing Letters, 2015, 22 (9): 1244-1248.
  • 3Meher P K, Sang Yoon Park. Critical-Path Analysis and Low-Complexity Implementation of the LMS A- daptive Algorithm[J]. IEEE Transactions on Circuits and Systems, 2014,61(3): 778-788.
  • 4Azpicueta-Ruiz, L A Figueiras-Vidal, A R Arenas- Gareia. A Normalized Adaptation Scheme for the Convex Combination of Two Adaptive Filters [ C]// International Conference on Acoustics, Speech and Signal Proeessing(ICASSP).2008 : 3301-3304.
  • 5M T M Silva, V H Nascimento, J Arenas-Garcia. A Transient Analysis for the Convex Combination of Two Adaptive Filters with Transfer of Coefficients [C]//IEEE International Conference on Acoustics Speech & Signal Processing. Dallas: IEEE Press, 2010 : 3842-3845.
  • 6V H Nascimento, R C de Lamare. A Low-Complexi- ty Strategy for Speeding up the Convergence of Con- vex Combinations of Adaptive Filters [C]// Proc IEEE Int Con- Acoust, Speech and Signal Process. 2012: 3553-3556.
  • 7J Arenas-Gareia, A R Figueiras-Vidal, A H Sayed. Mean-Square Performance of a Convex Combination of Two Adaptive Filters[J]. IEEE Trans on Signal Processing, 2006, 54(3) : 1078-1090.
  • 8LU Lu, Haiquan Zhao. A Novel Convex Combination of LMS Adaptive Filter for System Identification [C]//International Conference on Signal Processing. 2014: 225-229.
  • 9Das B K, Chakraborty M Circuits. Systems Sparse Adaptive Filtering by an Adaptive Convex Combination of the LMS and the ZA-LMS Algorithms[J]. IEEE Transaction on Circuits & Systems, 2014, 61 (5) : 1499-1507.
  • 10Donmez M A, Ozkan H, Kozat S S. Transient Analysis of Convexly Constrained Mixture Methods[C]// IEEE International Workshop, Machine Learning for Signal Processing(MLSP).2012: 1-5.

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黑龙江科技学院学报
2012年 第6期

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