Introduction to chaos analysis method of time series signal: With priority given to oceanic underwater ambient noise signal SCOPUS KCI
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, B.K. | - |
dc.contributor.author | Kim, B.-C. | - |
dc.contributor.author | Shin, C.-W. | - |
dc.date.accessioned | 2020-05-11T08:50:23Z | - |
dc.date.available | 2020-05-11T08:50:23Z | - |
dc.date.created | 2020-02-28 | - |
dc.date.issued | 2006-12 | - |
dc.identifier.issn | 1598-141X | - |
dc.identifier.uri | https://sciwatch.kiost.ac.kr/handle/2020.kiost/6510 | - |
dc.description.abstract | Ambient noise as a background noise in the ocean has been well known for its the various and irregular signal characteristics. Generally, these signals are treated as noise and they are analyzed through stochastical level if they don't include definite sinusoidal signals. This study is to see how ocean ambient noise can be analyzed by the chaotic analysis technique. The chaotic analysis is carried out with underwater ambient noise obtained in areas near the Korean Peninsula. The calculated physical parameters of time series signal are as follows: histogram, self-correlation coefficient, delay time, frequency spectrum, sonogram, return map, embedding dimension, correlation dimension, Lyapunov exponent, etc. We investigate the chaotic pattern of noises from these parameters. From the embedding dimensions of underwater noises, the assesment of underwater noise by chaotic analysis shows similar results if they don't include a definite sinusoidal signal. However, the values of Lyapunov exponent (divergence exponent) are smaller than that of random noise signal. As a result, we confirm the possibility of classification of underwater noise using Lyapunov analysis. | - |
dc.description.uri | 3 | - |
dc.language | Korean | - |
dc.publisher | Korea Ocean Research and Development Institute | - |
dc.title | Introduction to chaos analysis method of time series signal: With priority given to oceanic underwater ambient noise signal | - |
dc.type | Article | - |
dc.citation.endPage | 465 | - |
dc.citation.startPage | 459 | - |
dc.citation.title | Ocean and Polar Research | - |
dc.citation.volume | 28 | - |
dc.citation.number | 4 | - |
dc.contributor.alternativeName | 최복경 | - |
dc.contributor.alternativeName | 김봉채 | - |
dc.contributor.alternativeName | 신창웅 | - |
dc.identifier.bibliographicCitation | Ocean and Polar Research, v.28, no.4, pp.459 - 465 | - |
dc.identifier.doi | 10.4217/OPR.2006.28.4.459 | - |
dc.identifier.scopusid | 2-s2.0-33846267966 | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART001037910 | - |
dc.description.journalClass | 3 | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordPlus | ambient noise | - |
dc.subject.keywordPlus | chaotic dynamics | - |
dc.subject.keywordPlus | time series analysis | - |
dc.subject.keywordPlus | underwater noise | - |
dc.subject.keywordPlus | Asia | - |
dc.subject.keywordPlus | Eurasia | - |
dc.subject.keywordPlus | Far East | - |
dc.subject.keywordPlus | Korea | - |
dc.subject.keywordAuthor | Ambient noise | - |
dc.subject.keywordAuthor | Chaotic analysis | - |
dc.subject.keywordAuthor | Embedding dimension | - |
dc.subject.keywordAuthor | Lyapunov exponent | - |
dc.subject.keywordAuthor | Underwater noise | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |