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• W2991181330 startingPage "102617" @default.
• W2991181330 abstract "A sliding-window DFT (SWDFT) based two-step algorithm is proposed for parameter estimation of multi-frequency signal with high accuracy. In the first step, the SWDFT sequence in frequency-domain varied with time instant is obtained by performing the SWDFT on the input signal, where the coarse frequency is estimated. It has been proved that the SWDFT of a multi-frequency signal possesses the same linear relationship as the original time-domain signal and the signal-to-noise ratio (SNR) of each frequency component is enhanced by the SWDFT. In the second step, the parameters are estimated with high accuracy by a linear prediction from the SWDFT sequence, where the complex-valued least squares (CLS) framework is used. Computer simulation and practical measurement results show that the proposed algorithm can estimate parameters of a multi-frequency signal distorted by noise with high accuracy." @default.
• W2991181330 created "2019-12-05" @default.
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• W2991181330 date "2020-02-01" @default.
• W2991181330 modified "2023-09-26" @default.
• W2991181330 title "A sliding-window DFT based algorithm for parameter estimation of multi-frequency signal" @default.
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• W2991181330 doi "https://doi.org/10.1016/j.dsp.2019.102617" @default.
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