Abstract
The efficiency of threshold and no-threshold wavelet noise filtering methods in processing radar signals is analyzed. Three methods of wavelet analysis are considered: a method with a general limit threshold for wavelet coefficients of detail; a method with a universal threshold for all wavelet decompositions; and a method without a threshold, based on zeroing the coefficients of detail at certain levels of the wavelet decomposition of the signal. The efficiency of wavelet filtering by the signal-to-noise ratio before and after filtering, signal entropy, and the model’s mean squared error (MSE) are evaluated. It is found that over a wide range of high noise from –12 dB to –7.5 dB, the common-threshold method provides more efficient noise filtering than the other methods.
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Translated from Kibernetyka ta Systemnyi Analiz, No. 4, July–August, 2024, pp. 168–179; https://doi.org/10.34229/KCA2522-9664.24.4.13.
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Taranenko, Y.K., Oliinyk, O.Y. Use of Threshold and No-Threshold Methods of Discrete Wavelet Filtering of Radar Signals. Cybern Syst Anal 60, 656–666 (2024). https://doi.org/10.1007/s10559-024-00704-4
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DOI: https://doi.org/10.1007/s10559-024-00704-4