Does oversampling improve processing gain?

Yes. There are some specific advantages of oversampling which are described below. When the signal is oversampled a greater number of times than its signal bandwidth, then the processing gain is achieved in addition to the SNR shown in the ADC datasheets.

1. What is the benefit of oversampling?
2. Does oversampling improve SNR?
3. Is more oversampling better?
4. What happens when you oversample a signal?

What is the benefit of oversampling?

Oversampling is the practice of selecting respondents so that some groups make up a larger share of the survey sample than they do in the population. Oversampling small groups can be difficult and costly, but it allows polls to shed light on groups that would otherwise be too small to report on.

Does oversampling improve SNR?

The samples obtained by oversampling are low-pass filtered and decimated using a digital filter to achieve a reduction of the quantization noise. The signal at the frequency band of interest is not affected by the filter, and the result is an improved SNR. The improved SNR results in a higher ENOB performance.

Is more oversampling better?

Choosing an oversampling rate 2x or more instructs the algorithm to upsample the incoming signal thereby temporarily raising the Nyquist frequency so there are fewer artifacts and reduced aliasing. Higher levels of oversampling results in less aliasing occurring in the audible range.

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.