Algorithms Based on Trigonometric Interpolation for Signal Reconstruction with even Number of Sampling Points

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationProceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019
EditorsAY Dolganov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages237-240
Number of pages4
ISBN (Electronic)9781538683644
DOIs
Publication statusPublished - 1 Apr 2019
Event2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019 - Yekaterinburg, Russian Federation
Duration: 25 Apr 201926 Apr 2019

Publication series

NameProceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019

Conference

Conference2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019
CountryRussian Federation
CityYekaterinburg
Period25/04/201926/04/2019

Fingerprint

Signal reconstruction
time signals
interpolation
Interpolation
sampling
Sampling
Research
occurrences
Discrete-time

Keywords

  • even number of sampling points
  • interpolation error
  • reconstruction accuracy
  • signal reconstruction algorithms
  • trigonometric interpolation
  • trigonometric polynomial

ASJC Scopus subject areas

  • Information Systems and Management
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Health Informatics
  • Internal Medicine
  • Instrumentation

WoS ResearchAreas Categories

  • Engineering, Biomedical

Cite this

Kusaykin, D. V., & Klevakin, M. A. (2019). Algorithms Based on Trigonometric Interpolation for Signal Reconstruction with even Number of Sampling Points. In AY. Dolganov (Ed.), Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019 (pp. 237-240). [8736614] (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USBEREIT.2019.8736614
Kusaykin, Dmitriy V. ; Klevakin, Maxim A. / Algorithms Based on Trigonometric Interpolation for Signal Reconstruction with even Number of Sampling Points. Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. editor / AY Dolganov. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 237-240 (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019).
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Kusaykin, DV & Klevakin, MA 2019, Algorithms Based on Trigonometric Interpolation for Signal Reconstruction with even Number of Sampling Points. in AY Dolganov (ed.), Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019., 8736614, Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019, Institute of Electrical and Electronics Engineers Inc., pp. 237-240, 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019, Yekaterinburg, Russian Federation, 25/04/2019. https://doi.org/10.1109/USBEREIT.2019.8736614

Algorithms Based on Trigonometric Interpolation for Signal Reconstruction with even Number of Sampling Points. / Kusaykin, Dmitriy V.; Klevakin, Maxim A.

Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. ed. / AY Dolganov. Institute of Electrical and Electronics Engineers Inc., 2019. p. 237-240 8736614 (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Kusaykin DV, Klevakin MA. Algorithms Based on Trigonometric Interpolation for Signal Reconstruction with even Number of Sampling Points. In Dolganov AY, editor, Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 237-240. 8736614. (Proceedings - 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2019). https://doi.org/10.1109/USBEREIT.2019.8736614