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

Autor:	Maxim A. Klevakin, Dmitriy V. Kusaykin
Rok vydání:	2019
Předmět:	Sampling (signal processing) Component (thermodynamics) Signal reconstruction Monotonic function Function (mathematics) Iterative reconstruction Algorithm Mathematics Interpolation Trigonometric interpolation
Zdroj:	2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT).
DOI:	10.1109/usbereit.2019.8736614
Popis:	Research results of the finite-length discrete-time signal reconstruction accuracy by means of the trigonometric interpolation are discussed. The research is performed for even number of sampling points by means of the well-known algorithm as well as the new one. We demonstrate that the discrete-time signal reconstruction error is the sum of the monotonically decreasing function (the one the number of samples of increases) and a specific periodic component. The periodic component occurrence reasons are described.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::93a1cb0288f4429ece271990e9a50030 https://doi.org/10.1109/usbereit.2019.8736614 Zobrazit plný text záznamu