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- W4312387993 abstract "The complex-valued random Fourier geometric algebra mapping (CRFGAM) method can solve the over-coupling issue of the real and imaginary parts for complex-valued signals. In order to improve the accuracy of nonlinear mapping in the CRFGAM method, this paper proposes a multi-dimensional complex-valued random Fourier geometric algebraic mapping (MDCRFGAM) method by expanding the CRFGAM to a multi-dimension mapping space. Therefore, a multi-dimensional complex-valued random Fourier geometric algebra least mean square (MDCRFGALMS) algorithm is proposed based on the MDCRFGAM method. Simulations on nonlinear channel equalization are conducted to validate the performance superiorities of the proposed algorithm from the aspect of filtering accuracy." @default.
- W4312387993 created "2023-01-04" @default.
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- W4312387993 date "2022-08-22" @default.
- W4312387993 modified "2023-09-26" @default.
- W4312387993 title "Geometric Algebra Adaptive Filter Based on Multi-Dimensional Complex-Valued Random Fourier Features" @default.
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- W4312387993 doi "https://doi.org/10.1109/mlsp55214.2022.9943322" @default.
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