What is the Nyquist theorem related to in digital audio?

Question

BlackTom AI · Accepted Answer

In this question, we’re asked to identify what the Nyquist theorem is related to in digital audio.
Option 1: 'Bit Depth' — Bit depth determines the dynamic range and resolution of amplitude levels in each sample, but the Nyquist theorem is not about bit depth itself; it’s about sampling rate requirements to capture a signal without aliasing.
Option 2: 'Sample Rate' — The Nyquist theorem states that to accurately reconstruct a continuous-time signal from its samples, the sampling rate must be at least twice the highest frequency present in the signal. This makes sample rate the core concept tied to Nyquist in digital audio.
Option 3: 'Dynamic Range' — Dynamic range describes the ratio between the largest and smallest representable signal levels, influenced by bit depth and capture hardware, not the fundamental statement of Nyquist.
Option 4: 'Quantization noise' — Quantization noise arises from mapping continuous amplitudes to discrete levels (bit depth), but it is not the central topic of Nyquist sampling theory; Nyquist concerns sampling rate and potential aliasing, not quantization error itself.

What is the Nyquist theorem related to in digital audio?

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