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• W2098352720 endingPage "937" @default.
• W2098352720 startingPage "929" @default.
• W2098352720 abstract "Time-frequency peak filtering (TFPF) allows the reconstruction of signals from observations corrupted by additive noise by encoding the noisy signal as the instantaneous frequency (IF) of a frequency modulated (FM) analytic signal. IF estimation is then performed on the analytic signal using the peak of a time-frequency distribution (TFD) to recover the filtered signal. This method is biased when the peak of the Wigner-Ville distribution (WVD) is used to estimate the encoded signal's instantaneous frequency. We characterize a class of signals for which the method implemented using the pseudo WVD is approximately unbiased. This class contains deterministic bandlimited nonstationary multicomponent signals in additive white Gaussian noise (WGN). We then derive the pseudo WVD window length that gives a reduced bias when TFPF is used for signals from this class. Testing of the method on both synthetic and real life newborn electroencephalogram (EEG) signals shows clean recovery of the signals in noise level down to a signal-to-noise ratio (SNR) of -9 dB." @default.
• W2098352720 created "2016-06-24" @default.
• W2098352720 creator A5054675649 @default.
• W2098352720 creator A5068266042 @default.
• W2098352720 date "2004-04-01" @default.
• W2098352720 modified "2023-10-13" @default.
• W2098352720 title "Signal Enhancement by Time-Frequency Peak Filtering" @default.
• W2098352720 cites W2001188690 @default.
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• W2098352720 doi "https://doi.org/10.1109/tsp.2004.823510" @default.
• W2098352720 hasPublicationYear "2004" @default.
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