Title :
Use of higher order statistics to discriminate breaking waves
Author :
Nandi, A.K. ; Greated, C.A.
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
Abstract :
Various properties of wave breaking in the sea have been investigated by several authors, but none of these has proved to be very satisfactory in predicting wave breaking events. As this phenomenon is highly nonlinear, a fresh attempt is made to discriminate breaking waves, using real data from a wave tank, based primarily on the third-order statistics. It is shown that bispectral analysis offers a possible solution to the problem of predicting breaking wave events from a given time series
Keywords :
ocean waves; spectral analysis; statistical analysis; bispectral analysis; breaking waves; higher order statistics; ocean; sea; third-order statistics; time series; wave tank; Buildings; Design engineering; Educational institutions; Higher order statistics; Laboratories; Monitoring; Physics; Sea measurements; Sediments; Water pollution;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226577
