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- W4380628797 abstract "In this paper, a high convergence rate pipelined feedforward second-order Volterra adaptive filter is proposed via the recursive least square (RLS) algorithm. The existing pipelined feedforward second-order Volterra filter (JPPSOV) based on the least mean square (LMS) or the normalized least mean square (NLMS) algorithm has the problems of slow convergence speed and high steady-state error. Therefore, the RLS algorithm with fast convergence speed is proposed to be used in the pipelined architecture, which ensures fast convergence speed at a relatively low computational cost. Additionally, the computational complexity of second-order Volterra (SOV) filter and the JPPSOV adaptive filter using the RLS algorithm is analyzed. Finally, the performance of JPPSOV adaptive filter using RLS algorithm (JPPSOV-RLS) is verified by the experiment of system identification of three different input signals." @default.
- W4380628797 created "2023-06-15" @default.
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- W4380628797 date "2023-02-17" @default.
- W4380628797 modified "2023-09-26" @default.
- W4380628797 title "Volterra-RLS Algorithm for Pipelined Nonlinear Filter" @default.
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- W4380628797 doi "https://doi.org/10.1145/3585542.3585561" @default.
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