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Robust Proportionate Subband Adaptive Filter Algorithms With Optimal Variable Step-Size
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DOI：10.1109/TCSII.2023.3328779.png)
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摘要
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In this brief, we address the classical tradeoff between the convergence rate and steady-state error in the proportionate subband adaptive filter (PSAF) algorithm by designing an optimal variable step-size (OVSS) strategy that minimizes the mean square deviation at each iteration. To keep low computational complexity, we also present the vector implementation of OVSS. Furthermore, we extend the OVSS mechanism to the robust PSAF algorithm, to achieve fast convergence and low steady-state error in the impulsive noise. Simulations in an acoustic echo cancellation scenario have illustrated that the proposed algorithms are superior to existing state-of-the-art algorithms.
Keyword:
Convergence
Acoustics
Steady-state
Heuristic algorithms
Autocorrelation
Time-domain analysis
Microgrids
Acoustic echo cancellation
impulsive noise
optimal variable step-size
proportionate subband adaptive filter
期刊
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4.9
论文数:
8.8K
被引数:
2.5W
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