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Diffusion Kalman filtering under unknown process and measurement noise covariance matrices
SYS 0562434 LBL 01000a^^22220027750^450 005 20231122150844.7 017 $2 DOI 100 $a 20221017d m y slo 03 ba 101 $a eng $d eng 102 $a CZ 200 1-
$a Diffusion Kalman filtering under unknown process and measurement noise covariance matrices 210 $a Praha $c ÚTIA AV ČR, v. v. i., $d 2022 215 $a 29 s. $c P 225 $a Research Report $v 2395 610 $a Collaborative estimation 610 $a State estimation 610 $a Variational Bayesian methods 700 -1
$3 cav_un_auth*0438006 $a Vlk $b T. $y CZ 701 -1
$3 cav_un_auth*0242543 $a Dedecius $b Kamil $p UTIA-B $i Adaptivní systémy $j Department of Adaptive Systems $k AS $l AS $w Department of Adaptive Systems $y CZ $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2022/AS/dedecius-0562434.pdf
Number of the records: 1