0470356 20240103213522.020170203235959.9 6 s. C cav_un_epca*04720899782912328311ParisSEE2004 Mixture modelling Filtering Splines cav_un_auth*0101092 Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems 50 Guy Tatiana Valentine UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101124 Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems 50 Kárný Miroslav UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2016/AS/guy-0470356.pdf cav_un_auth*0342381 GA102/03/0049 GA ČR cav_un_auth*0342382 GP102/03/P010 GA ČR CEZ:AV0Z10750506 Application of smoothing signal filtering within multimodel system modelling is concerned. The approach used describes a system as a weighted sum of local models represented via probability models with an appropriate regression structure. The spline-based filtering of continuous time signals is considered. cav_un_auth*0342380 CSIMTA´04 20040919 20040922 Cherbourg FR BC 2017 2 PR RVO:67985556 http://hdl.handle.net/11104/0269439 1 S 2004 SCOPUS PUBMED WOS cav_un_epca*0472089 CSIMTA 2004: Complex Systems, Intelligence and Modern Technology Applications 9782912328311 Paris SEE 2004