Dual Window Fourier Transform (DWFT): A Tool to Analyze Non-stationary Signals
Author:
Funder
Ministry of Human Resource Development
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-022-02061-z.pdf
Reference36 articles.
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3. R.G. Baraniuk, P. Flandrin, A.J.E.M. Janssen, O.J.J. Michel, Measuring time-frequency information content using the renyi entropies. IEEE Trans. Inf. Theory 47(4), 1391–1409 (2001). https://doi.org/10.1109/18.923723
4. B. Boashash, S. Ouelha, Automatic signal abnormality detection using time-frequency features and machine learning: a newborn EEG seizure case study. Knowl.-Based Syst. 106, 38–50 (2016). https://doi.org/10.1016/j.knosys.2016.05.027
5. P. Chen, Q. Zhang, Classification of heart sounds using discrete time-frequency energy feature based on S transform and the wavelet threshold denoising. Biomed. Signal Process. Control 57, 101684 (2020). https://doi.org/10.1016/j.bspc.2019.101684
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