Zobrazeno 1 - 4
of 4
pro vyhledávání: '"José D. Jiménez-López"'
Publikováno v:
Sensors, Vol 23, Iss 8, p 4047 (2023)
This paper analyses the centralized fusion linear estimation problem in multi-sensor systems with multiple packet dropouts and correlated noises. Packet dropouts are modeled by independent Bernoulli distributed random variables. This problem is addre
Externí odkaz:
https://doaj.org/article/903a9522dd914104971b9a11fc54d367
Publikováno v:
Mathematics, Vol 10, Iss 14, p 2495 (2022)
The prediction and smoothing fusion problems in multisensor systems with mixed uncertainties and correlated noises are addressed in the tessarine domain, under Tk-properness conditions. Bernoulli distributed random tessarine processes are introduced
Externí odkaz:
https://doaj.org/article/7a7d3fa35def4a1b96764e01c188d6b1
Publikováno v:
Mathematics, Vol 9, Iss 22, p 2961 (2021)
This paper addresses the fusion estimation problem in tessarine systems with multi-sensor observations affected by mixed uncertainties when under Tk-properness conditions. Observations from each sensor can be updated, delayed, or contain only noise,
Externí odkaz:
https://doaj.org/article/77213c5a06514306907555f40921b5b9
Publikováno v:
Mathematics, Vol 9, Iss 2961, p 2961 (2021)
This paper addresses the fusion estimation problem in tessarine systems with multi-sensor observations affected by mixed uncertainties when under Tk-properness conditions. Observations from each sensor can be updated, delayed, or contain only noise,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::83cebdd299e290364c18592fe59a86d4
https://www.mdpi.com/2227-7390/9/22/2961
https://www.mdpi.com/2227-7390/9/22/2961