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In deep learning, aliasing is introduced primarily through two mechanisms:

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In traditional DSP, aliasing is solved using an . This is a low-pass filter applied before down-sampling. It attenuates frequencies above the Nyquist limit ($f_s/2$) to near zero, ensuring that no fold-over occurs. In deep learning, aliasing is introduced primarily through