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• W2897636765 startingPage "1051" @default.
• W2897636765 abstract "Although the multiband-structured subband adaptive filter (MSAF) and its convergence analysis have been widely studied, the existing analyses are carried out only in the decimated time domain. In this paper, we present a new theoretical mean-square analysis of the multi-sampled MSAF (MS-MSAF) algorithm in the original time domain, whereas the MS-MSAF algorithm extends the original sub-sampled number to a general value. Both the transient and steady-state performances are investigated, which provides a guideline for increasing the convergence rate of the MSAF. Then, the tracking ability is studied in a non-stationary environment. Moreover, the approximative analytical minimum mean-square deviation and optimum step size are derived. Simulation results illustrate the derived performance expressions, which show that there is a relatively good match between theory and practice." @default.
• W2897636765 created "2018-10-26" @default.
• W2897636765 creator A5006014871 @default.
• W2897636765 creator A5047855118 @default.
• W2897636765 date "2019-03-01" @default.
• W2897636765 modified "2023-10-17" @default.
• W2897636765 title "Mean-Square Analysis of Multi-Sampled Multiband-Structured Subband Filtering Algorithm" @default.
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• W2897636765 doi "https://doi.org/10.1109/tcsi.2018.2873388" @default.
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