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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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