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Adaptive Combination of Proportionate NSAF with Individual Activation Factors

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Abstract

This paper presents a new proportionate normalized subband adaptive filter (PNSAF) algorithm, called the IAF-PNSAF, which assigns an individual activation factor for each filter coefficient instead of a common one for all filter coefficients as in the standard PNSAF algorithm. This algorithm achieves an improved performance in terms of the convergence rate and tracking capability for identifying a highly sparse system. Moreover, to overcome the trade-off of the fixed-step-size IAF-PNSAF algorithm between the fast convergence rate and small steady-state misalignment, its adaptive combination version is proposed. Simulation results for identifying the impulse response with high sparseness have demonstrated that the proposed algorithms outperform their counterparts.

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Acknowledgments

This work was partially supported by National Science Foundation of P.R. China (Grants: 61271340, 61571374 and 61433011), and the Fundamental Research Funds for the Central Universities (Grant: SWJTU12CX026).

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Authors and Affiliations

  1. Department of Rail Transportation, Guiyang Vocational and Technical College, Guiyang, China

    Yinxia Dong

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

    Haiquan Zhao & Yi Yu

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  1. Yinxia Dong
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  2. Haiquan Zhao
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  3. Yi Yu
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Correspondence to Yinxia Dong.

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Dong, Y., Zhao, H. & Yu, Y. Adaptive Combination of Proportionate NSAF with Individual Activation Factors. Circuits Syst Signal Process 36, 1769–1780 (2017). https://doi.org/10.1007/s00034-016-0386-4

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  • DOI: https://doi.org/10.1007/s00034-016-0386-4

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