0505586 20240111141020.120190618235959.9 85073885084 000492146100087 10.1109/MECO.2019.8760063 6 s. P cav_un_epca*0505585978-1-7281-1739-3Digital signal processing and artificial intelligence with applications354-360PiscatawayIEEE2019StojanovićRadovanJóźwiakLechJurišićDraženLutovacBudimir noise cancellation QRD RLS algorithm exponential forgetting gesture recognition ultrasound regression model cav_un_auth*0330517 Likhonina Raissa UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing CZ Ústav teorie informace a automatizace AV ČR, v. v. i. textový soubor http://library.utia.cas.cz/separaty/2019/ZS/likhonina-0505586.pdf 132M cav_un_auth*0351997 8A17006 GA MŠk CZ This paper describes an approach, which can be used as a pre-processing stage for a hand detection and gesture recognition problem. The approach is based on noise cancellation using QRD Recursive Least Squares (RLS) algorithm with double precision arithmetic and exponential forgetting (EF). The paper discusses algorithmic techniques and presents experiments showing how it is possible to calculate the distance between a hand and a device. A series of experiments were performed. During them a time-variant environment regression model and a time-variant hand model as well as different values of the EF factor were used. cav_un_auth*0376063 Mediterranean Conference on Embedded Computing - MECO'2019 /8./ 20190610 20190614 Budva ME BB 10000 10100 10103 2020 1 PR RVO:67985556 http://hdl.handle.net/11104/0297087 S 2 Article Pharmacology Pharmacy 2019 85073885084 SCOPUS PUBMED 000492146100087 WOS textový soubor 132M cav_un_epca*0505585 Proceedings - Research monograph : 2019 8th Mediterranean Conference on Embedded Computing (MECO) Digital signal processing and artificial intelligence with applications IEEE 2019 Piscataway 354 360 978-1-7281-1739-3 340 Stojanović Radovan 340 Jóźwiak Lech 340 Jurišić Dražen 340 Lutovac Budimir