Is Oversampling a Signal Same as Discretizing the Signal?

1. What is signal discretization?
2. What happens when you oversample a signal?
3. What is the meaning of oversampling?
4. Is oversampling a signal bad?

What is signal discretization?

Discretization is the replacement of a continuous signal by a number sequence which is the representation of this signal on some discrete basis.

What happens when you oversample a signal?

Oversampling reduces or completely gets rid of 3 forms of potential distortion a signal can have: aliasing, clipping, and quantization distortion. Although these forms of distortion are often mild and difficult to consciously hear, they're often noticed when using a lot of processing or pushing a processor harder.

What is the meaning of oversampling?

In signal processing, oversampling is the process of sampling a signal at a sampling frequency significantly higher than the Nyquist rate. Theoretically, a bandwidth-limited signal can be perfectly reconstructed if sampled at the Nyquist rate or above it.

Is oversampling a signal bad?

Oversampling compresses the signal bandwidth to a smaller part of the frequency axis, and can make subtle filters harder to design and implement because of this. You may, for example, need a filter that drops like a rock instead of something with a smaller slope, so you may need higher orders.