An Algorithm for Detecting the Minimal Sample Frequency for Tracking a Preset Motion Scenario

Autor:	Tetyana Marusenkova, Dmytro Fedasyuk
Rok vydání:	2020
Předmět:	Human-Computer Interaction Control and Optimization Artificial Intelligence Computer Networks and Communications Computer science Modeling and Simulation Signal Processing Tracking (particle physics) Algorithm Sample (graphics) Motion (physics) Computer Science Applications
Zdroj:	International Journal of Intelligent Systems and Applications. 12:1-12
ISSN:	2074-9058 2074-904X
DOI:	10.5815/ijisa.2020.04.01
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c77a9b527bf5a3123e0b8b28af24239e https://doi.org/10.5815/ijisa.2020.04.01 Zobrazit plný text záznamu