élsimítást
Élsimítást is a Hungarian term that translates to "smoothing" or "averaging" in English. It refers to a process of reducing the variations or fluctuations in a set of data points to reveal underlying trends or patterns. This technique is widely used in various fields, including statistics, signal processing, economics, and image analysis.
The core principle behind élsimítást is to replace each data point with a value that is a
The purpose of élsimítást is to filter out random noise or short-term fluctuations that can obscure the