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We use 2 ways to improved the network.
First, a wavelet transform is applied to the input radar signal to enhance its multi-scale time–frequency representation, which helps capture non-stationary characteristics.
Second, a denoising block is introduced to suppress noise-dominated and non-informative features, improving robustness under low SNR conditions.
However, these two techniques are not applied simultaneously, as cascading wavelet decomposition with additional denoising may excessively remove critical scattering information and degrade recognition performance.
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