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Methods for Determining the Optimal Sampling Step of Signals in the Process of Device and Computer Integration

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dc.authoridZaynidinov, Hakimjon/0000-0002-8098-5246
dc.authoridSingh, Dhananjay/0000-0003-3822-9348
dc.authoridYusupov, Ibrohimbek/0000-0002-2166-6683
dc.authoridMakhmudjanov, Sarvar/0000-0002-8642-6808
dc.authorwosidSingh, Dhananjay/ABA-9824-2020
dc.authorwosidMakhmudjanov, Sarvar/GOP-0475-2022
dc.authorwosidZaynidinov, Hakimjon/ABB-9196-2020
dc.authorwosidSingh, Dhananjay/I-2459-2014
dc.contributor.authorZaynidinov, Hakimjon
dc.contributor.authorSingh, Dhananjay
dc.contributor.authorMakhmudjanov, Sarvar
dc.contributor.authorYusupov, Ibrohimbek
dc.contributor.otherDepartment of Artificial Intelligence
dc.date.accessioned2024-12-16T16:27:48Z
dc.date.available2024-12-16T16:27:48Z
dc.date.issued2022
dc.departmentTashkent University of Information Technologiesen_US
dc.department-temp[Zaynidinov, Hakimjon; Makhmudjanov, Sarvar; Yusupov, Ibrohimbek] Tashkent Univ Informat Technol, Dept Artificial Intelligence, Tashkent, Uzbekistan; [Singh, Dhananjay] Hankuk Univ Foreign Studies, Dept Elect Engn, ReSENSE Lab, Seoul, South Koreaen_US
dc.descriptionZaynidinov, Hakimjon/0000-0002-8098-5246; Singh, Dhananjay/0000-0003-3822-9348; Yusupov, Ibrohimbek/0000-0002-2166-6683; Makhmudjanov, Sarvar/0000-0002-8642-6808en_US
dc.description.abstractIn this paper, digital signal processing methods and its solution for HCI were described. Mostly, problems are connected to taking signals or data from real time devices. Data is often serial, stream or etc. device and computer integration in HCI focuses to digital signal processing. Today, the use of interpolation methods in the digital processing of biomedical signals is important, and at the same time allows the detection and diagnosis of diseases as a result of digital processing of biomedical signals. This paper discusses the construction of a signal model using the spline-wavelet interpolation formula for equal intervals in the digital processing of biomedical signals.en_US
dc.description.woscitationindexConference Proceedings Citation Index - Science
dc.identifier.citation4
dc.identifier.doi10.1007/978-3-030-98404-5_44
dc.identifier.endpage482en_US
dc.identifier.isbn9783030984045
dc.identifier.isbn9783030984038
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.scopusqualityQ3
dc.identifier.startpage471en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-98404-5_44
dc.identifier.urihttps://tuit-demo.gcris.com/handle/123456789/69
dc.identifier.volume13184en_US
dc.identifier.wosWOS:000784640700044
dc.identifier.wosqualityN/A
dc.institutionauthorZaynidinov, Hakimjon
dc.language.isoenen_US
dc.publisherSpringer international Publishing Agen_US
dc.relation.ispartof13th International Conference on Intelligent Human Computer Interaction (IHCI) -- DEC 20-22, 2021 -- Kent State Univ, Design Innovat Hub, Kent, OHen_US
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInternet of thingsen_US
dc.subjectDigital signal processingen_US
dc.subjectB-splineen_US
dc.subjectSpline-waveletsen_US
dc.subjectSignal energyen_US
dc.subjectIntegrationen_US
dc.subjectSampling stepsen_US
dc.titleMethods for Determining the Optimal Sampling Step of Signals in the Process of Device and Computer Integrationen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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relation.isOrgUnitOfPublication23cc2802-d886-477f-bb84-03d2f542d30f
relation.isOrgUnitOfPublication.latestForDiscovery23cc2802-d886-477f-bb84-03d2f542d30f

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