Applying Nyquist theorem to digital vs. analog audio quality

1. What does Nyquist theorem state if an analog voice to be correctly represented digitally?
2. Why is the Nyquist sampling theorem important in analogue to digital conversion?
3. Can you hear the difference between analog and digital?
4. Why is Nyquist criterion important for digital data acquisition?

What does Nyquist theorem state if an analog voice to be correctly represented digitally?

In communications theory, the Nyquist theorem is a formula stating that two samples per cycle is all that is needed to properly represent an analog signal digitally. The theorem simply states that the sampling rate must be double the highest frequency of the signal.

Why is the Nyquist sampling theorem important in analogue to digital conversion?

The Nyquist theorem is also known as the sampling theorem. It is the principle to accurately reproduce a pure sine wave measurement, or sample, rate, which must be at least twice its frequency. The Nyquist theorem underpins all analog-to-digital conversion and is used in digital audio and video to reduce aliasing.

Can you hear the difference between analog and digital?

In sound, those limits are measured in the dimensions that measure audio, frequency and amplitude. Digital is no less “real” than analog – and because we listen, in the end, to sound and not the signal, the two can achieve the same results.

Why is Nyquist criterion important for digital data acquisition?

The Nyquist criterion must be met in order to avoid aliasing. frequency, there is no aliasing. signal frequency but less than twice the signal frequency, there is aliasing, and the aliasing frequency is equal to the absolute value of the difference between the sampling frequency and the signal frequency.