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Aliasing: What Sampling Too Slowly Does to a Signal

Nyquist states the ceiling; aliasing is what breaking it actually produces, and it is a separate teaching object. Aliased energy does not vanish, it folds down and masquerades as a lower frequency, which is exactly the failure that puts a phantom peak into a spectrum and a phantom formant into a results table.

Questions this Concept answers

Why is aliasing more dangerous for interpretation than simply losing the high frequencies would be?

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The Nyquist-Shannon Sampling Theorem in Signal Processing

The Nyquist-Shannon sampling theorem states that a continuous signal can be uniquely reconstructed from its samples only if it is sampled at a rate greater than twice the highest frequency component …