Are oversampling and downsampling the same thing?

Upsampling or Oversampling refers to create artificial minority class data points to balance the distribution between the majority and minority class sample. Whereas, downsampling or undersampling refers to the removal of majority class data points to balance the target class distribution.

1. What are the differences between downsample and upsample?
2. Is upsampling the same as oversampling?
3. What is meant by oversampling?
4. Is downsampling the same as undersampling?

What are the differences between downsample and upsample?

Downsampling, which is also sometimes called decimation, reduces the sampling rate. Upsampling, or interpolation, increases the sampling rate. Before using these techniques you will need to be aware of the following.

Is upsampling the same as oversampling?

Basics of Sampling - Oversampling and Upsampling

When practically implemented though, oversampling refers to using a higher sampling rate than needed to run the A/D or D/A converter thus increasing the rate of the signal. Upsampling is on the other hand a rate conversion from one rate to another arbitrary rate.

What is meant by 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 downsampling the same as undersampling?

Downsampling. The opposite of Upsampling is Downsampling, aka Undersampling.