Okay kiddo, imagine you want to know how sweet a cookie is but instead of biting the whole cookie, you take a tiny piece out of it and taste it. By just tasting that tiny piece, you can guess how sweet the whole cookie is. This is called sampling.
Now, let's say you have lots of cookies and you want to taste only a piece from each of them. You need to make sure that you choose the right size of a piece so that it represents the whole cookie's sweetness.
Similarly, in the world of music, sampling theory is used to pick a small portion, called a sample, from a song and represent the whole song's quality. The idea is to make sure that the sample size is big enough to capture the meaning and essence of the whole song.
When the sample size is too small, it can miss important parts of the song, which can make it sound completely different than the original. On the other hand, when the sample is too large, it can take up too much storage space, making it difficult to use.
So, to make sure that the sample size is just right, a scientist named Gyorgy (people call him GY) introduced the concept of sampling theory. This theory helps scientists determine the optimal sample size for a song or any other type of signal, like images, videos, and audios, to ensure that the sample accurately represents the original signal's quality.