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Around Kotelnikov-Shannon formula. / Kolomoitsev, Yurii; Skopina, Maria.

2017 12th International Conference on Sampling Theory and Applications, SampTA 2017. ed. / Gholamreza Anbarjafari; Andi Kivinukk; Gert Tamberg. Institute of Electrical and Electronics Engineers Inc., 2017. p. 279-282 8024385.

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

Harvard

Kolomoitsev, Y & Skopina, M 2017, Around Kotelnikov-Shannon formula. in G Anbarjafari, A Kivinukk & G Tamberg (eds), 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017., 8024385, Institute of Electrical and Electronics Engineers Inc., pp. 279-282, 12th International Conference on Sampling Theory and Applications, SampTA 2017, Tallinn, Estonia, 3/07/17. https://doi.org/10.1109/SAMPTA.2017.8024385

APA

Kolomoitsev, Y., & Skopina, M. (2017). Around Kotelnikov-Shannon formula. In G. Anbarjafari, A. Kivinukk, & G. Tamberg (Eds.), 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017 (pp. 279-282). [8024385] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAMPTA.2017.8024385

Vancouver

Kolomoitsev Y, Skopina M. Around Kotelnikov-Shannon formula. In Anbarjafari G, Kivinukk A, Tamberg G, editors, 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 279-282. 8024385 https://doi.org/10.1109/SAMPTA.2017.8024385

Author

Kolomoitsev, Yurii ; Skopina, Maria. / Around Kotelnikov-Shannon formula. 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017. editor / Gholamreza Anbarjafari ; Andi Kivinukk ; Gert Tamberg. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 279-282

BibTeX

@inproceedings{10404be23ab74f048b52bcf42f91d743,
title = "Around Kotelnikov-Shannon formula",
abstract = "Approximation properties of multivariate sampling-type expansions with matrix dilation are studied. In particular, we investigate the expansions whose coefficients are the sampled values of some linear combination of the approximated function f and its derivatives. The error estimation in Lp-norm, 2 ≤ p ≤ ∞, is given in terms of the Fourier transform of f for this case. Another class of expansions includes those whose coefficients are integral averages of f near the nodes. The error estimation in Lp-norm, 1 < p < ∞, is given in terms of the moduli of smoothness of f for this case.",
author = "Yurii Kolomoitsev and Maria Skopina",
year = "2017",
month = sep,
day = "1",
doi = "10.1109/SAMPTA.2017.8024385",
language = "English",
pages = "279--282",
editor = "Gholamreza Anbarjafari and Andi Kivinukk and Gert Tamberg",
booktitle = "2017 12th International Conference on Sampling Theory and Applications, SampTA 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "12th International Conference on Sampling Theory and Applications, SampTA 2017 ; Conference date: 03-07-2017 Through 07-07-2017",

}

RIS

TY - GEN

T1 - Around Kotelnikov-Shannon formula

AU - Kolomoitsev, Yurii

AU - Skopina, Maria

PY - 2017/9/1

Y1 - 2017/9/1

N2 - Approximation properties of multivariate sampling-type expansions with matrix dilation are studied. In particular, we investigate the expansions whose coefficients are the sampled values of some linear combination of the approximated function f and its derivatives. The error estimation in Lp-norm, 2 ≤ p ≤ ∞, is given in terms of the Fourier transform of f for this case. Another class of expansions includes those whose coefficients are integral averages of f near the nodes. The error estimation in Lp-norm, 1 < p < ∞, is given in terms of the moduli of smoothness of f for this case.

AB - Approximation properties of multivariate sampling-type expansions with matrix dilation are studied. In particular, we investigate the expansions whose coefficients are the sampled values of some linear combination of the approximated function f and its derivatives. The error estimation in Lp-norm, 2 ≤ p ≤ ∞, is given in terms of the Fourier transform of f for this case. Another class of expansions includes those whose coefficients are integral averages of f near the nodes. The error estimation in Lp-norm, 1 < p < ∞, is given in terms of the moduli of smoothness of f for this case.

UR - http://www.scopus.com/inward/record.url?scp=85031695139&partnerID=8YFLogxK

U2 - 10.1109/SAMPTA.2017.8024385

DO - 10.1109/SAMPTA.2017.8024385

M3 - Conference contribution

AN - SCOPUS:85031695139

SP - 279

EP - 282

BT - 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017

A2 - Anbarjafari, Gholamreza

A2 - Kivinukk, Andi

A2 - Tamberg, Gert

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th International Conference on Sampling Theory and Applications, SampTA 2017

Y2 - 3 July 2017 through 7 July 2017

ER -

ID: 36025678