Standard

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

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

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференцииРецензирование

Harvard

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

APA

Kolomoitsev, Y., & Skopina, M. (2017). Around Kotelnikov-Shannon formula. в G. Anbarjafari, A. Kivinukk, & G. Tamberg (Ред.), 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017 (стр. 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. в Anbarjafari G, Kivinukk A, Tamberg G, Редакторы, 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017. Institute of Electrical and Electronics Engineers Inc. 2017. стр. 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. Редактор / Gholamreza Anbarjafari ; Andi Kivinukk ; Gert Tamberg. Institute of Electrical and Electronics Engineers Inc., 2017. стр. 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