Orthogonal Polynomials in the Problems of Digital Information Processing

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Orthogonal Polynomials in the Problems of Digital Information Processing

1 Pidstryhach Institute for Applied Problems of Mechanics and Mathematics, National Academy of Sciences of Ukraine Lviv, 79060, Ukraine
2 CodeTiburon, Kharkiv, Ukraine
*whom correspondence should be addressed. E-mail: danylo794@gmail.com

Journal of Engineering Research and Sciences, Volume 2, Issue 5, Page # 1-9, 2023; DOI: 10.55708/js0205001

Keywords: Spectral Methods, Digital Information Processing, Signal Approximation and Filtering, Object Identification

Received: 23 December 2022, Revised: 15 March 2023, Accepted: 24 April 2023, Published Online: 30 May 2023

(This article belongs to the Special Issue on SP2 (Special Issue on Computing, Engineering and Sciences 2022-23) and the Section Mathematics (MAT))

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APA Style
Pyanylo, Y. , Sobko, V. , Pyanylo, H. and Pyanylo, O. (2023). Orthogonal Polynomials in the Problems of Digital Information Processing. Journal of Engineering Research and Sciences, 2(5), 1–9. https://doi.org/10.55708/js0205001
Chicago/Turabian Style
Yaroslav Pyanylo, Valentyna Sobko, Halyna Pyanylo and Oksana Pyanylo. "Orthogonal Polynomials in the Problems of Digital Information Processing." Journal of Engineering Research and Sciences 2, no. 5 (May 2023): 1–9. https://doi.org/10.55708/js0205001
IEEE Style
Y. Pyanylo, V. Sobko, H. Pyanylo and O. Pyanylo, "Orthogonal Polynomials in the Problems of Digital Information Processing," Journal of Engineering Research and Sciences, vol. 2, no. 5, pp. 1–9, May. 2023, doi: 10.55708/js0205001.
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