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Wave grouping characteristics in nearshore Great Lakes

โœ Scribed by Paul C Liu


Book ID
104159428
Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
322 KB
Volume
27
Category
Article
ISSN
0029-8018

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โœฆ Synopsis


The recently advanced approach of wavelet transform is applied to the analysis of wave data measured in the nearshore areas of the Great Lakes. The conventional spectrum analysis of wave time series in the frequency domain can be readily generalized to the frequency and time domain using the wavelet transform. The traditional Fourier transform approach has not been able to directly assess the time localized nature of wave groups. With the application of wavelet transformation, the relatively unexplored wave grouping characteristics come to light as the predominant feature of wave processes.


๐Ÿ“œ SIMILAR VOLUMES


Wave grouping characteristics in nearsho
โœ Paul C. Liu; Nathan Hawley ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 927 KB

This is a sequel with extensive new data to Liu's (Liu, 2000a. Wave grouping characteristics in nearshore Great Lakes. Ocean Engineering 27, 1221-1230) exploratory study on wave grouping characteristics in the nearshore Great Lakes. We analyze recent GLERL time-series measurements recorded by pressu