"We said before that a higher sampling frequency $f_{s}$ leads to a better quality reconstruction, but how does this idea fit into all of this? If we increase $f_{s}$, then our copies of the original frequency spectrum will be separated further from each other, meaning there is more space to isolate the original spectrum and reconstruct the signal. However, if we decrease $f_{s}$ too much, then the copies of the original frequency spectrum will begin to overlap. This effect is referred to as **aliasing**. When this happens, frequency components from neighbouring copies become mixed together, meaning that we can no longer isolate the original spectrum and perfectly reconstruct the signal. As a result, higher frequency components in the original signal appear as incorrect lower frequencies in the sampled signal. We say that these frequency components have been **aliased**. \n",
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