Comprehensive explanation of Aliasing?

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Aliasing occurs when a continuous signal is digitized at a sampling rate lower than the Nyquist rate, resulting in distortion and jagged representations of smooth lines in signals like sound waves or images. The Nyquist theorem states that to accurately reconstruct a signal, it must be sampled at least twice the frequency of its highest component. When sampling below this rate, aliasing effects arise, leading to inaccuracies in the signal representation. To mitigate aliasing, a low pass filter can be applied before sampling, allowing for a more accurate capture of the signal by filtering out higher frequencies. Understanding these concepts is essential for effective signal processing and digital representation.
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Hello,

I need a comrehensive explanation of Aliasing? and its relation to filters...

Thanks for the answers
 
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start with wikipedia...
 
http://en.wikipedia.org/wiki/Aliasing

Aliasing is what happens when you take a continuous signal and digitize it. It can only be approximated and as a result, smooth lines in a signal (whether they are a synthesized sound wave or a picture or some other signal is irrelevant) become jagged.
 
Aliasing is a form of distortion that happens when you sample a signal with a frequency less than the nyquist rate, the sampling theory simply states that if we take a number of samples of a signal at double the rate of it's highest frequency, the original signal can be reconstructed using these samples, so what happens when you sample at a rate lower than nyquist is that there will be an aliasing effect.

The aliasing effect could be removed by passing the signal through a low pass filter before sampling, thus we could calculate the band of the filter and multiply it by two and then sample at this rate.
 
Thanks a lot guys, I have already used wiki...Thanks again!

I will post my summary in the coming days so we all benifit from it!
 
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