DFT - zero padding avoids aliasing?

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Zero padding a signal before applying the Discrete Fourier Transform (DFT) increases the frequency resolution by creating a larger gap between frequency points, which can help reduce aliasing. However, this approach alters the original signal, resulting in a different DFT outcome. The discussion emphasizes that while zero padding can improve frequency representation, it does not maintain the same signal characteristics. Thus, comparing the DFT of the original and zero-padded signals is not valid, as they represent different signals. Understanding the implications of zero padding is crucial for accurate signal analysis.
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hey guys - i can't seem to find find this statement anywhere - but it makes sense to me - could someone please verify.
When you find the DFT of a signal say: x[0]=2, x[1]=4, x[2]=6, x[3]=8 - you will get four discrete points in frequency (per period) now if you zero pad the time signal such that you get x[0]=2, x[1]=4, x[2]=6, x[3]=8 x[4]=0, x[5]=0, x[6]=0, x[7]=0 - you will once agin get four discrete frequency points but now the gap between each period will be larger (thus decreasing any chances of aliasing)


thnks
 
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Sure, but that is a completely different signal with a different DFT. It is an apples/oranges comparison.
 
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