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- W2912281266 abstract "A multi-sampled multiband-structured sub-band adaptive filtering (MS-MSAF) algorithm is proposed in this paper. The key feature of the proposed algorithm lies in the expansion of the sub-sampled number to a common value. The properties of mean stability and mean-square deviation of the MS-MSAF algorithm are analyzed in the original time domain, and the theoretical analysis also leads to a way to accelerate the convergence speed of the proposed MS-MSAF algorithm. The obtained theoretical results are verified through computer simulations." @default.
- W2912281266 created "2019-02-21" @default.
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- W2912281266 date "2018-11-01" @default.
- W2912281266 modified "2023-10-17" @default.
- W2912281266 title "A Multi-Sampled Multiband-Structured Subband Filtering Algorithm" @default.
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- W2912281266 doi "https://doi.org/10.1109/icdsp.2018.8631805" @default.
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