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• W2767630488 abstract "A discrete Fourier transform (DFT) enhanced complex least mean square (CLMS) algorithm, which utilizes the underlying time series relationship among the consecutive fundamental DFT components, is proposed to adaptively mitigate the spur pollution in multi-standard transceivers. The transient and steady-state performances of the proposed algorithm are investigated, demonstrating faster convergence speed and higher signal-plus-noise-to-interference ratio (SNIR) performance at the steady state, compared to the conventional LMS algorithm. Computer simulations in the single-spur cancellation setting support the analysis." @default.
• W2767630488 created "2017-11-17" @default.
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• W2767630488 date "2017-08-01" @default.
• W2767630488 modified "2023-09-27" @default.
• W2767630488 title "A DFT enhanced complex LMS for digital adaptive spur cancellation" @default.
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• W2767630488 doi "https://doi.org/10.1109/icdsp.2017.8096082" @default.
• W2767630488 hasPublicationYear "2017" @default.
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