Vote for your favorite mineral in #MinCup25! - Titanite vs. Thortveitite
It's a pair of T-minerals with as versatile #titanite faces off against the home of rare earth elements #thortveitite.
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

Zhang, Ting (2024) A new selection method of singular values using correlation coefficients for detecting weak exponential damped sinusoidal signals under strong noise. Measurement Science and Technology, 35 (4) 46107 doi:10.1088/1361-6501/ad191e

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA new selection method of singular values using correlation coefficients for detecting weak exponential damped sinusoidal signals under strong noise
JournalMeasurement Science and Technology
AuthorsZhang, TingAuthor
Year2024 (April 1)Volume35
Issue4
PublisherIOP Publishing
DOIdoi:10.1088/1361-6501/ad191eSearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID17089916Long-form Identifiermindat:1:5:17089916:3
GUID0
Full ReferenceZhang, Ting (2024) A new selection method of singular values using correlation coefficients for detecting weak exponential damped sinusoidal signals under strong noise. Measurement Science and Technology, 35 (4) 46107 doi:10.1088/1361-6501/ad191e
Plain TextZhang, Ting (2024) A new selection method of singular values using correlation coefficients for detecting weak exponential damped sinusoidal signals under strong noise. Measurement Science and Technology, 35 (4) 46107 doi:10.1088/1361-6501/ad191e
In(2024, April) Measurement Science and Technology Vol. 35 (4) IOP Publishing

See Also

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

Chen, Peng, Tu, Ya-qing, Chen, Bao-xin, Li, Ming (2019) A new parameter estimation method for damped real-value sinusoidal signals in noise. Measurement Science and Technology, 30. 125022pp. doi:10.1088/1361-6501/ab17bf
Luo, Junhua, Bespal’Ko, Anatoly Alekseevich, Lu, Di, Li, Baocheng (2024) Method for the P-wave arrival pickup of rock fracture acoustic emission signals under strong noise. Measurement Science and Technology, 35 (8) 86102 doi:10.1088/1361-6501/ad3d02
Cui, Lingli, Liu, Yinhang, Zhao, Dezun (2022) Adaptive singular value decomposition for bearing fault diagnosis under strong noise interference. Measurement Science and Technology, 33 (9) 95002 doi:10.1088/1361-6501/ac672b
Yao, Jinbao, Yue, Bohao, Wang, Yizhu, Li, Xiang (2024) Noise reduction method for wind turbine gearbox vibration signals based on CVMD-DRDSAE. Measurement Science and Technology, 35 (11). doi:10.1088/1361-6501/ad715f
Ye, Xiangbiao, Li, Guofu (2024) An intelligent fault diagnosis method for rolling bearing using motor stator current signals. Measurement Science and Technology, 35 (8) 86131 doi:10.1088/1361-6501/ad4bfc
Wang, Leyang, Zhao, Weifeng (2024) Damped least squares method for nonlinear mixed additive and multiplicative errors model. Measurement Science and Technology, 35 (6) 66305 doi:10.1088/1361-6501/ad3391
Jia, Li, Jialong, He, Wanghao, Shen, Cheng, Ma, Jili, Wang, Yuzhi, He (2024) Optimised LightGBM-based health condition evaluation method for the functional components in CNC machine tools under strong noise background. Measurement Science and Technology, 35 (4) 46116 doi:10.1088/1361-6501/ad1807
Jia, Min, Wang, Jinrui, Zhang, Zongzhen, Han, Baokun, Bao, Huaiqian, Wang, Yangchao (2024) STAKgram: a method for optimal demodulation band selection in bearing fault diagnosis under complex interference. Measurement Science and Technology, 35 (12). doi:10.1088/1361-6501/ad7b64
Huang, Hening (2024) A minimum entropy criterion for distribution selection for measurement uncertainty analysis. Measurement Science and Technology, 35 (3) 35014 doi:10.1088/1361-6501/ad1476
Liu, Wenpeng, Yang, Shaopu, Liu, Yongqiang, Gu, Xiaohui (2024) DTMSgram: a novel optimal demodulation frequency band selection method for wheelset bearings fault diagnosis under wheel-rail excitation. Measurement Science and Technology, 35 (4) 45105 doi:10.1088/1361-6501/ad0d74
Wu, Yan, Xue, Ting (2024) A novel laser interferometric method for thin film thickness measurement in gas–liquid intermittent flow. Measurement Science and Technology, 35 (10) 105027 doi:10.1088/1361-6501/ad5461
 
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 11, 2025 10:19:33
Go to top of page