What is time domain aliasing in linear convolution?

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Time domain aliasing occurs when frequency domain aliasing affects a signal during reconstruction, leading to distortions in the time domain. It is particularly relevant in the context of linear convolution, where improper sampling can result in misleading representations of the original signal. The discussion highlights the confusion between linear and circular convolution regarding aliasing effects. Understanding the relationship between frequency and time domain aliasing is crucial for accurate signal processing. Clarifying these concepts can help prevent misinterpretations in signal reconstruction.
madhusri
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please anyone can help me to get the answer?I have idea about aliasing which is basically in frequency domain caused by lower sampling rate which does not satisfy the Nyquist criteria. Frequency aliasing refers to higher frequency getting the image of lower frequency.But what is time domain aliasing?I think this is related to linear convolution and it's disadvantages.
if the answer is known to somebody please reply.It is urgent!
 
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Time domain aliasing is the result that frequency domain aliasing will have on your signal in the time domain.

So what happens when you have aliasing in the frequency domain and try to reconstruct the signal? How will it look?
 
i think time-domain aliasing is about circular convolution, not linear convolution.
 
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