The study of noise immunity for interpolation method of nonlinear dynamical systems identification based on Volterra model in frequency domain

Simple item page
dc.contributor.authorPavlenko, Vitaliy
dc.contributor.authorSperanskyy, Viktor
dc.date.accessioned2014-03-03T15:20:25Z
dc.date.available2014-03-03T15:20:25Z
dc.date.issued2013
dc.description.abstractThe noise immunity of the interpolation method of nonlinear dynamical systems identification based on the Volterra model in the frequency domain is studied in this paper. The polyharmonic signals are used as the test ones. The algorithmic and software toolkit in Matlab is developed for identification processes. This toolkit is used for constructing the informational model of test system. The model is built as a first, second and third order amplitude–frequency and phase–frequency characteristics. The wavelets are studied and used to reduce the noise impact on final characteristics of the test object.uk_UA
dc.identifier.citationPavlenko V. The study of noise immunity for interpolation method of nonlinear dynamical systems identification based on Volterra model in frequency domain / Vitaliy Pavlenko, Viktor Speranskyy // Комп'ютерні науки та інженерія : матеріали VІ Міжнародної конференції молодих вчених CSE-2013, 21–23 листопада 2013 року, Україна, Львів / Міністерство освіти і науки України, Національний університет "Львівська політехніка". – Львів : Видавництво Львівської політехніки, 2013. – С. 136-141. – (4-й Міжнародний молодіжний фестиваль науки "Litteris et Artibus"). – Bibliography: 13 titles.uk_UA
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/23779
dc.language.isoenuk_UA
dc.publisherВидавництво Львівської політехнікиuk_UA
dc.subjectdentificationuk_UA
dc.subjectnonlinear dynamic systemsuk_UA
dc.subjectVolterra modelsuk_UA
dc.subjectmultifrequency characteristicsuk_UA
dc.subjectpolyharmonic signalsuk_UA
dc.subjectnoise immunityuk_UA
dc.subjectwavelet denoisinguk_UA
dc.titleThe study of noise immunity for interpolation method of nonlinear dynamical systems identification based on Volterra model in frequency domainuk_UA
dc.typeArticleuk_UA

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
49-136-141.pdf
Size:
400.25 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Комп'ютерні науки та інженерія (CSE-2013 ). – 2013 р.