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• W2030397816 abstract "Signal time-frequency analysis under low signal-to-noise ratio (SNR) conditions is an important part of signal processing. As Wigner-Ville distribution (WVD) transformation can save all the traits of the original signal in the special space where the frequency is zero, a new method is proposed to extract the signal time-frequency relationship under low SNR conditions and to estimate the extent to improve the SNR after the denoising processing. Through signal time-frequency extracting comparison and parameter extracting comparison, it is proved that this method has higher extraction validity and feasibility." @default.
• W2030397816 created "2016-06-24" @default.
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• W2030397816 date "2011-10-01" @default.
• W2030397816 modified "2023-10-02" @default.
• W2030397816 title "Low SNR signal time-frequency analyzing method" @default.
• W2030397816 cites W1985510941 @default.
• W2030397816 cites W2140147143 @default.
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• W2030397816 doi "https://doi.org/10.1109/iasp.2011.6108990" @default.
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