Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/419997
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Civil Engineering | |
dc.date.accessioned | 2022-11-17T09:48:11Z | - |
dc.date.available | 2022-11-17T09:48:11Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/419997 | - |
dc.description.abstract | Time frequency based signal processing is a popular technique for output only operational modal analysis OMA These techniques are mostly based on either Hilbert transform HT or wavelet transform WT besides other time frequency tools which are less popular among the researcher and engineers Diferent Hilbert transform based techniques are empirical mode decomposition EMD or Hilbert Huang transform HHT ensemble empirical mode decomposition EEMD analytic mode decomposition AMD and newline newline | |
dc.format.extent | Not Available | |
dc.language | English | |
dc.relation | Not Available | |
dc.rights | self | |
dc.title | Time frequency based signal processing for modal parametric identification | |
dc.title.alternative | Not available | |
dc.creator.researcher | Mahato, Swarup | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering Civil | |
dc.description.note | Not Available | |
dc.contributor.guide | Chakraborty, Arunasis | |
dc.publisher.place | Guwahati | |
dc.publisher.university | Indian Institute of Technology Guwahati | |
dc.publisher.institution | DEPARTMENT OF CIVIL ENGINEERING | |
dc.date.registered | 2013 | |
dc.date.completed | 2019 | |
dc.date.awarded | 2019 | |
dc.format.dimensions | Not Available | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | DEPARTMENT OF CIVIL ENGINEERING |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_fulltext.pdf | Attached File | 16.58 MB | Adobe PDF | View/Open |
04_abstract.pdf | 111.81 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 239.1 kB | Adobe PDF | View/Open |
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