| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0519515 |
| utime |
20240103223415.7 |
| mtime |
20200113235959.9 |
| SCOPUS |
85081289223 |
| DOI |
10.1109/ISSPIT47144.2019.9001829 |
| title
(primary) (eng) |
Bayesian Filtering for States Uniformly Distributed on a Parallelotopic Support |
| specification |
| page_count |
6 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0519792 |
| ISBN |
978-1-7281-5341-4 |
| title
|
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology 2019 (ISSPIT 2019) |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2019 |
|
|
| keyword |
Bayesian filtering |
| keyword |
uniform distribution on a parallelotopic support (UPS) |
| keyword |
local approximation |
| keyword |
Kullback-Leibler divergence |
| author
(primary) |
| ARLID |
cav_un_auth*0101119 |
| name1 |
Jirsa |
| name2 |
Ladislav |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0382598 |
| name1 |
Kuklišová Pavelková |
| name2 |
Lenka |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| country |
CZ |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0370768 |
| name1 |
Quinn |
| name2 |
Anthony |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| country |
IE |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0362986 |
| project_id |
GA18-15970S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
This paper contributes to the literature on Bayesian filtering in the case where the processes driving the states and observations are uniformly distributed on finite intervals. We introduce the class of uniform distributions on parallelotopic supports (UPS). We derive optimal local distributional projections (i.e. approximations) within this UPS class-in the sense of minimum Kullback-Leibler divergence-of the outputs of the data and time updates of filtering. We demonstrate that the UPS class provides a tighter approximation (and therefore more precise inferences) than a previously reported approximation on orthotopic supports. It does this, while still achieving bounded complexity in the resulting recursive filtering algorithm. The comparative performance of the UPS-closed filtering algorithm is explored-via both Bayesian and frequentist performance measures-as a function of signal-to-noise ratio and state dimension in a position-velocity system. |
| action |
| ARLID |
cav_un_auth*0387099 |
| name |
IEEE International Symposium on Signal Processing and Information Technology 2019 (ISSPIT 2019) |
| dates |
20191210 |
| mrcbC20-s |
20191212 |
| place |
Ajman |
| country |
AE |
|
| RIV |
BB |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2020 |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0304778 |
| mrcbC61 |
1 |
| cooperation |
| ARLID |
cav_un_auth*0387100 |
| name |
Trinity College, Dublin |
| institution |
TCD |
| country |
IE |
|
| confidential |
S |
| arlyear |
2019 |
| mrcbU14 |
85081289223 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0519792 Proceedings of the IEEE International Symposium on Signal Processing and Information Technology 2019 (ISSPIT 2019) 978-1-7281-5341-4 Piscataway IEEE 2019 |
|