Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

García-Ligero, M. J., Hermoso-Carazo, A., Linares-Pérez, J. (2020) Covariance-based least-squares filtering algorithm under Markovian measurement delays. International Journal of Computer Mathematics, 97. 40-50 doi:10.1080/00207160.2017.1422496

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleCovariance-based least-squares filtering algorithm under Markovian measurement delays
JournalInternational Journal of Computer Mathematics
AuthorsGarcía-Ligero, M. J.Author
Hermoso-Carazo, A.Author
Linares-Pérez, J.Author
Year2020 (February 1)Volume97
PublisherInforma UK Limited
DOIdoi:10.1080/00207160.2017.1422496Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID6647529Long-form Identifiermindat:1:5:6647529:5
GUID0
Full ReferenceGarcía-Ligero, M. J., Hermoso-Carazo, A., Linares-Pérez, J. (2020) Covariance-based least-squares filtering algorithm under Markovian measurement delays. International Journal of Computer Mathematics, 97. 40-50 doi:10.1080/00207160.2017.1422496
Plain TextGarcía-Ligero, M. J., Hermoso-Carazo, A., Linares-Pérez, J. (2020) Covariance-based least-squares filtering algorithm under Markovian measurement delays. International Journal of Computer Mathematics, 97. 40-50 doi:10.1080/00207160.2017.1422496
In(n.d.) International Journal of Computer Mathematics Vol. 97. Informa UK Limited

See Also

These are possibly similar items as determined by title/reference text matching only.

García-Ligero, M.J., Hermoso-Carazo, A., Linares-Pérez, J. (2011) Least-squares linear estimation of signals from observations with Markovian delays. Journal of Computational and Applied Mathematics, 236 (2). 234-242 doi:10.1016/j.cam.2011.06.021
Nakamori, S., García-Ligero, M.J., Hermoso-Carazo, A., Linares-Pérez, J. (2008) Filtering of images corrupted by multiplicative and white plus coloured additive noises using covariance information. Mathematical and Computer Modelling, 47. 298-311 doi:10.1016/j.mcm.2007.04.005
García-Ligero, M.J., Hermoso-Carazo, A., Linares-Pérez, J. (2011) Estimation for discrete-time systems with multiple packet dropouts using covariance information. Mathematical and Computer Modelling, 54. 2277-2286 doi:10.1016/j.mcm.2011.05.036
García-Ligero, M.J., Hermoso-Carazo, A., Linares-Pérez, J. (2011) Derivation of centralized and distributed filters using covariance information. Computational Statistics & Data Analysis, 55 (1). 312-323 doi:10.1016/j.csda.2010.04.027
García-Ligero, M.J., Hermoso-Carazo, A., Linares-Pérez, J., Nakamori, S. (2010) Derivation of linear estimation algorithms from measurements affected by multiplicative and additive noises. Journal of Computational and Applied Mathematics, 234 (3). 794-804 doi:10.1016/j.cam.2010.01.043
Caballero-Águila, Raquel, García-Garrido, Irene, Linares-Pérez, Josefa (2020) Distributed fusion filtering for multi-sensor systems with correlated random transition and measurement matrices. International Journal of Computer Mathematics, 97. 263-274 doi:10.1080/00207160.2018.1554213
Papaodysseus, C., Koukoutsis, E., Halkias, C.C., Roussopoulos, G. (1998) A parallelizable recursive least squares algorithm for adaptive filtering, with very good tracking properties. International Journal of Computer Mathematics, 67. 275-292 doi:10.1080/00207169808804665
Song, Juan (2020) USSOR method for solving the indefinite least squares problem. International Journal of Computer Mathematics, 97 (9) 1781-1791 doi:10.1080/00207160.2019.1658869
Guo, Qin, Ye, Peixin (2020) Error analysis of the moving least-squares regression learning algorithm with β-mixing and non-identical sampling. International Journal of Computer Mathematics, 97 (8) 1586-1602 doi:10.1080/00207160.2019.1636231
Caballero-Águila, Raquel, García-Garrido, Irene, Linares-Pérez, Josefa (2020) Distributed fusion estimation from measurements with correlated random parameter matrices and noise correlation. International Journal of Computer Mathematics, 97. 95-108 doi:10.1080/00207160.2018.1437264
Li, Ying, Wei, Musheng, Zhang, Fengxia, Zhao, Jianli (2020) On accurate error estimates for the quaternion least squares and weighted least squares problems. International Journal of Computer Mathematics, 97 (8) 1662-1677 doi:10.1080/00207160.2019.1642469
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 30, 2025 10:23:14
Go to top of page