Open AccessON ONE APPROACH TO NUMERICAL MULTIVARIATE SIGNAL DESIGNING
Author(s) -
Hrihoriy Larionov,
Mykola Larionov
Publication year - 2020
Publication title -
ìnformacìjnì tehnologìï v metalurgìï ta mašinobuduvannì
Language(s) - English
Resource type - Journals
ISSN - 2708-0102
DOI - 10.34185/1991-7848.itmm.2020.01.038
Subject(s) - representation (politics) , variable (mathematics) , expression (computer science) , function (biology) , filter (signal processing) , product (mathematics) , point (geometry) , mathematics , computer science , signal (programming language) , algorithm , multivariate statistics , mathematical optimization , mathematical analysis , statistics , geometry , evolutionary biology , politics , political science , law , computer vision , biology , programming language
The method of sequential approximation (MSA) [1] allows representation of a reproduced function in an analytical form in the form of a product of functions, each of which depends on one variable. The paper is devoted to application of the representation of a function in the vicinity of a point and is considered for evaluation of numerical filter parameters. The result of this representation is an analytical expression in the form of a product of independent functions of one variable. As the practical experience of technical applications shows, the function of the parameters is quite satisfactorily describes its behavior throughout the definition area. An example of the application of this approach to the solution of an important scientific problem of numerical filter parameters determination is proposed.