Vote for your favorite mineral in #MinCup25! - Silver vs. Baryte
Are you ready for beautiful utility as sparkling silver competes against hefty baryte?
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

Gao, Wenlei, Sacchi, Mauricio D. (2020) Random noise attenuation via the randomized canonical polyadic decomposition. Geophysical Prospecting, 68 (3) 872-891 doi:10.1111/1365-2478.12894

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleRandom noise attenuation via the randomized canonical polyadic decomposition
JournalGeophysical Prospecting
AuthorsGao, WenleiAuthor
Sacchi, Mauricio D.Author
Year2020 (March)Volume68
Issue3
PublisherWiley
DOIdoi:10.1111/1365-2478.12894Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID992279Long-form Identifiermindat:1:5:992279:6
GUID0
Full ReferenceGao, Wenlei, Sacchi, Mauricio D. (2020) Random noise attenuation via the randomized canonical polyadic decomposition. Geophysical Prospecting, 68 (3) 872-891 doi:10.1111/1365-2478.12894
Plain TextGao, Wenlei, Sacchi, Mauricio D. (2020) Random noise attenuation via the randomized canonical polyadic decomposition. Geophysical Prospecting, 68 (3) 872-891 doi:10.1111/1365-2478.12894
In(2020, March) Geophysical Prospecting Vol. 68 (3) Wiley

See Also

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

Chen, Ke, Sacchi, Mauricio D. (2017) Robustf-xprojection filtering for simultaneous random and erratic seismic noise attenuation. Geophysical Prospecting, 65 (3) 650-668 doi:10.1111/1365-2478.12429
Chiu, Stephen K. (2013) Coherent and random noise attenuation via multichannel singular spectrum analysis in the randomized domain. Geophysical Prospecting, 61. 1-9 doi:10.1111/j.1365-2478.2012.01090.x
Bahia, Breno, Sacchi, Mauricio D. (2020) Widely linear denoising of multicomponent seismic data. Geophysical Prospecting, 68 (2) 431-445 doi:10.1111/1365-2478.12850
Gao, Jianjun, Stanton, Aaron, Naghizadeh, Mostafa, Sacchi, Mauricio D., Chen, Xiaohong (2013) Convergence improvement and noise attenuation considerations for beyond alias projection onto convex sets reconstruction. Geophysical Prospecting, 61. 138-151 doi:10.1111/j.1365-2478.2012.01103.x
Torres, Kristian, Sacchi, Mauricio D (2023) Deep decomposition learning for reflectivity inversion. Geophysical Prospecting, 71 (6) 963-982 doi:10.1111/1365-2478.13366
Han, Li, Sacchi, Mauricio D., Han, Liguo (2014) Spectral decomposition and de-noising via time-frequency and space-wavenumber reassignment. Geophysical Prospecting, 62 (2) 244-257 doi:10.1111/1365-2478.12088
Bonar, David, Sacchi, Mauricio (2013) Spectral decomposition withf−x−ypreconditioning. Geophysical Prospecting, 61. 152-165 doi:10.1111/j.1365-2478.2012.01104.x
Manenti, Rafael, Sacchi, Mauricio D (2023) Tensor tree decomposition as a rank‐reduction method for pre‐stack interpolation. Geophysical Prospecting, 71 (8) 1404-1419 doi:10.1111/1365-2478.13374
Naghizadeh, Mostafa, Sacchi, Mauricio (2012) Multicomponent f-x seismic random noise attenuation via vector autoregressive operators. Geophysics, 77 (2) doi:10.1190/geo2011-0198.1
Kaur, Harpreet, Fomel, Sergey, Pham, Nam (2020) Seismic ground‐roll noise attenuation using deep learning. Geophysical Prospecting, 68 (7) 2064-2077 doi:10.1111/1365-2478.12985
KREY, TH.C. (1987) ATTENUATION OF RANDOM NOISE BY 2-D AND 3-D CDP STACKING AND KIRCHHOFF MIGRATION*. Geophysical Prospecting, 35 (2) 135-147 doi:10.1111/j.1365-2478.1987.tb00809.x
 
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: September 5, 2025 10:59:59
Go to top of page