Non-linearity identification and quantification using an inverse fourier transform
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Won-Jin | - |
| dc.contributor.author | Park, Youn-Sik | - |
| dc.date.accessioned | 2008-02-25T07:25:46Z | - |
| dc.date.available | 2008-02-25T07:25:46Z | - |
| dc.date.issued | 1993-05 | - |
| dc.identifier.citation | Mechanical Systems and Signal Processing, Volume 7, Issue 3, May 1993, Pages 239-255 | en |
| dc.identifier.issn | 0888-3270 | - |
| dc.identifier.uri | http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6WN1-45P696K-V&_user=170364&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000013318&_version=1&_urlVersion=0&_userid=170364&md5=2f902c130690acae585fb035a54ae09e | - |
| dc.identifier.uri | http://hdl.handle.net/10203/3184 | - |
| dc.description.abstract | It is important to judge whether of not a linear model for a system or structure analysis is adequate. If it is thought that a linear model is not acceptable, a non-linear model should be cosidered for more accurate analysis even if it is more complicated and difficult to handle. There has been much work aimed at finding methods which identify the positions and degrees of non-linearity within a system or structure. | en |
| dc.language.iso | en_US | en |
| dc.publisher | Elsevier | en |
| dc.title | Non-linearity identification and quantification using an inverse fourier transform | en |
| dc.type | Article | en |
| dc.identifier.doi | 10.1002/(SICI)1097-4628(19991128)74:9<2113::AID-APP1>3.0.CO;2-4 | - |
- Appears in Collection
- ME-Journal Papers(저널논문)
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