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Choosing the right sample rate is crucial for capturing and reconstructing the signal accurately. If the sample rate is too low, the oscilloscope may miss important details of the signal, such as fast transients or high-frequency components. This can lead to aliasing, where the signal appears to have a lower frequency than it actually does, or to other forms of distortion. The Nyquist-Shannon sampling theorem states that the sample rate must be at least twice the highest frequency component of the signal to avoid aliasing. However, in practice, it is often recommended to use a sample rate that is significantly higher than the Nyquist rate to ensure accurate signal representation.
