Static analysis and its application in signal detection and classification

A stationary process is one in which the statistical distribution of process samples is independent of time/place. For this purpose, all process statistics must be equal for each moment/point. If we consider the mean and variance, which are the first and second order statistics, the definition of istan changes from one state to another. In addition to statistical processes, this concept can also be extended to certain signals. Considering this concept is very efficient in the analysis of signals/time series, but since this concept is very limited, in the statistical analysis of signals or time series, tools should be used to convert them into constants. In this article, the concept of stationary processes and its application in information separation and classification will be studied and its practical analysis will be presented.

Keywords:

stationary process , statistical distribution , signal analysis