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A New Normalized Subband Adaptive Filter Algorithm with Individual Variable Step Sizes

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Abstract

Proposed is a novel variable step size normalized subband adaptive filter algorithm, which assigns an individual step size for each subband by minimizing the mean square of the noise-free a posterior subband error. Furthermore, a noniterative shrinkage method is used to recover the noise-free priori subband error from the noisy subband error signal. Simulation results using the colored input signals have demonstrated that the proposed algorithm not only has better tracking capability than the existing subband adaptive filter algorithms, but also exhibits lower steady-state error.

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Acknowledgments

This work was supported by National Science Foundation of P.R. China (Grants: 61271340 and 61433011), the Sichuan Provincial Youth Science and Technology Fund (Grant: 2012JQ0046), and the Fundamental Research Funds for the Central Universities (Grant: SWJTU12CX026).

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Authors and Affiliations

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

    Yi Yu & Haiquan Zhao

  2. School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China

    Badong Chen

Authors
  1. Yi Yu
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  2. Haiquan Zhao
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  3. Badong Chen
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Correspondence to Haiquan Zhao.

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Yu, Y., Zhao, H. & Chen, B. A New Normalized Subband Adaptive Filter Algorithm with Individual Variable Step Sizes. Circuits Syst Signal Process 35, 1407–1418 (2016). https://doi.org/10.1007/s00034-015-0112-7

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  • DOI: https://doi.org/10.1007/s00034-015-0112-7

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