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An Improved Variable Regularization Parameter for Sign Subband Adaptive Filter

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Abstract

This paper proposes an improved variable regularization parameter (VRP) for sign subband adaptive filter, which is derived on the basis of the mean-square deviation (MSD) analysis. Since it is difficult to get access to the exact values of some quantities in the MSD, the VRP is calculated by minimizing the upper bound of a certain term which is employed to update the MSD. Moreover, a re-initialization mechanism that can enhance the tracking capability is developed. We also discuss the computational complexity of our finding. The proposed scheme enjoys more merits than several prior algorithms, which is illustrated by sufficient simulations designed for both the system identification and acoustic echo cancelation applications in the presence of impulsive noise.

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Acknowledgements

This work was partially supported by National Science Foundation of PR China (Grant Nos.: 61571374, 61271340, and 61433011).

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Authors and Affiliations

  1. Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, Chengdu, China

    Long Shi & Haiquan Zhao

  2. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China

    Long Shi & Haiquan Zhao

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  1. Long Shi
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  2. Haiquan Zhao
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Correspondence to Haiquan Zhao.

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Shi, L., Zhao, H. An Improved Variable Regularization Parameter for Sign Subband Adaptive Filter. Circuits Syst Signal Process 38, 1396–1411 (2019). https://doi.org/10.1007/s00034-018-0908-3

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  • DOI: https://doi.org/10.1007/s00034-018-0908-3

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