Approximation procedures for data acquisition in testing systems

SECRIERU, N.

dc.contributor.author	SECRIERU, N.
dc.date.accessioned	2020-12-17T16:32:49Z
dc.date.available	2020-12-17T16:32:49Z
dc.date.issued	1999
dc.identifier.citation	SECRIERU, N. Approximation procedures for data acquisition in testing systems. In: Computer Science Journal of Moldova. 1999, Vol 7, nr. 2(20), pp.155-169. ISSN 1561-4042.	en_US
dc.identifier.uri	http://repository.utm.md/handle/5014/12190
dc.description.abstract	This paper deals with the results of spline approximation functions applied to periodical experimental data and its comparison with polynomial approximation functions. The experimental data processing methods based on spline functions ensure better quality of approximation, but the algorithms are very complicated. An algorithm that allows to exclude this disadvantage is presented in the paper. The main idea of the proposed algorithm is the calculation of spline function derivatives reduced to the algebraic linear equation system, which allows successful application in the testing and diagnosis systems.	en_US
dc.language.iso	en	en_US
dc.publisher	Institute of Mathematics and Computer Science	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	periodical experimental data	en_US
dc.subject	polynomial approximation functions	en_US
dc.subject	algorithms	en_US
dc.subject	testing and diagnosis systems	en_US
dc.title	Approximation procedures for data acquisition in testing systems	en_US
dc.type	Article	en_US