Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Roy L. Streit"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)
Externí odkaz:
https://doaj.org/article/173466755bb64786b17fe89eb6c92319
Publikováno v:
Studies in Big Data ISBN: 9783031322419
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7b1461c1ccc763a78ccfc895f474382
https://doi.org/10.1007/978-3-031-32242-6_2
https://doi.org/10.1007/978-3-031-32242-6_2
Publikováno v:
Studies in Big Data ISBN: 9783031322419
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4ce4080a0057e0256e88059bb854382
https://doi.org/10.1007/978-3-031-32242-6_1
https://doi.org/10.1007/978-3-031-32242-6_1
Publikováno v:
Studies in Big Data ISBN: 9783031322419
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5171a1a4755db0b10f9aedbc0170112
https://doi.org/10.1007/978-3-031-32242-6_4
https://doi.org/10.1007/978-3-031-32242-6_4
Publikováno v:
Studies in Big Data ISBN: 9783031322419
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6177a641e1a25315652f05f4cabeadc4
https://doi.org/10.1007/978-3-031-32242-6
https://doi.org/10.1007/978-3-031-32242-6
Publikováno v:
Studies in Big Data ISBN: 9783031322419
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f521ccb5d4bf14d92b0ef7e96171f610
https://doi.org/10.1007/978-3-031-32242-6_5
https://doi.org/10.1007/978-3-031-32242-6_5
Publikováno v:
Studies in Big Data ISBN: 9783031322419
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fa154592df02b99bd7e7a458e080d68
https://doi.org/10.1007/978-3-031-32242-6_3
https://doi.org/10.1007/978-3-031-32242-6_3
Publikováno v:
IEEE Signal Processing Letters. 28:319-323
A multiple target tracking filter is developed for merged measurement problems that arise with finite resolution sensors. The resulting combinatorial problem is incorporated directly in the joint likelihood function using analytic combinatorics techn
Publikováno v:
IEEE Signal Processing Letters. 28:1031-1035
Object superposition is a way to derive Bayesian estimators for multiple object tracking using point processes. A low computational complexity Bayesian multiple target tracking filter, based on target superposition, is presented. The concept of super