What is the difference between undersampling and oversampling in analog to digital conversion ?

Over-sampling implies having many more samples than the highest frequency of interest, and under-sampling implies we are down-converting the bandwidth of interest with a higher harmonic of the sampling clock (effectively).

1. What is the difference between undersampling and oversampling?
2. What is oversampling and undersampling in digital communication?
3. What is undersampling in ADC?
4. What is oversampling in ADC?

What is the difference between undersampling and oversampling?

Oversampling methods duplicate or create new synthetic examples in the minority class, whereas undersampling methods delete or merge examples in the majority class. Both types of resampling can be effective when used in isolation, although can be more effective when both types of methods are used together.

What is oversampling and undersampling in digital communication?

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.

What is undersampling in ADC?

The undersampling technique allows the ADC to behave like a mixer or a down converter in the receive chain. For a band-limited signal of 70 MHz with a 20-MHz signal bandwidth, if the sampling rate (Fs) is 100 MSPS, the aliased component will appear between 20 MHz to 40 MHz (30 ±10 MHz).

What is oversampling in ADC?

Oversampling is a popular method to improve ADC resolution. The input is sampled at a rate higher than the minimum required Nyquist sampling rate, fs.