The study of modern methods for extracting and evaluating the informative components of the signal

The method of extreme filtering (EF) is considered, through the use of which signals are decomposed into sign-alternating components. The basis of the method under consideration is signal decomposition based on the removal of known components locally determined by their extreme. The methods of digital signal processing are considered and the results of their application to real data — trends obtained from the paper production scanner are shown. The advantages and disadvantages of the extremefiltration method are analyzed, and the possibility of its use in solving technical problems is shown. The extremefiltering method contains a simple mathematical base that does not require the calculation of transcendental functions, which guarantees higher performance than other methods with comparable results. Keywords empirical mode decomposition (EMD), extreme filtering (EF), singular value decomposition (SSA), spectral analysis, expresses signal analysis, alternating component, informative component