| dc.contributor.author | Alex | |
| dc.contributor.author | Sheremet | |
| dc.contributor.author | Uriah | |
| dc.contributor.author | Gravois | |
| dc.contributor.author | Miao | |
| dc.contributor.author | Tian | |
| dc.date.accessioned | 2017-05-08T22:04:19Z | |
| dc.date.available | 2017-05-08T22:04:19Z | |
| dc.date.copyright | July 2013 | |
| dc.date.issued | 2013 | |
| dc.identifier.other | %28asce%29ww%2E1943-5460%2E0000230.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl/handle/yetl/70467 | |
| dc.description.abstract | Ship/boat wakes are identified in pressure and flow velocity records as chirp signals, which are also known as sweep signals in sonar and radar applications. A chirp is a signal in which the frequency increases or decreases with time. Wakes are analyzed using time-frequency techniques [windowed Fourier transform (WFT), wavelet transform (WT), and instantaneous frequency]. This approach allows for detecting boat wakes and studying their statistics, even in the presence of a relatively strong broad-banded wind-wave background. Time-frequency methods also open a new direction for the statistical description of wakes, which are applicable to the characterization of the wake climate (e.g., for sites with intense boat traffic). The usefulness of the time-frequency analysis on observations collected in 2010 at Jensen Beach, Florida will be demonstrated. | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Boat-Wake Statistics at Jensen Beach, Florida | |
| dc.type | Journal Paper | |
| dc.journal.volume | 139 | |
| dc.journal.issue | 4 | |
| dc.journal.title | Journal of Waterway, Port, Coastal, and Ocean Engineering | |
| dc.identifier.doi | 10.1061/(ASCE)WW.1943-5460.0000182 | |
| dc.tree | Journal of Waterway, Port, Coastal, and Ocean Engineering:;2013:;Volume ( 139 ):;issue: 004 | |
| dc.contenttype | Fulltext | |